Q (haiku): How many primary samples are in the MSK-CHORD Study?

▶ resolve_and_route
{
 "studyKeywords": [
  "MSK",
  "CHORD"
 ]
}

▶ list_studies
{
 "search": "MSK CHORD"
}

◀ result
{"success":true,"message":"Found 1 study. Use the metadata to call the appropriate navigation tool(s).","data":{"totalCount":1,"studiesWithMetadata":[{"studyId":"msk_chord_2024","name":"MSK-CHORD (MSK, Nature 2024)","sampleCount":25040,"studyViewUrl":"https://www.cbioportal.org/study?id=msk_chord_2024","metadata":{"clinicalAttributeIds":["ADRENAL_GLANDS","BONE","CANCER_TYPE","CANCER_TYPE_DETAILED","CLINICAL_GROUP","CLINICAL_SUMMARY","CNS_BRAIN","CURRENT_AGE_DEID","DIAGNOSIS_DESCRIPTION","ETHNICITY","FRACTION_GENOME_ALTERED","GENDER","GENE_PANEL","GLEASON_FIRST_REPORTED","GLEASON_HIGHEST_REPORTED","GLEASON_SAMPLE_LEVEL","HER2","HISTORY_OF_PDL1","HR","ICD_O_HISTOLOGY_DESCRIPTION","INTRA_ABDOMINAL","LIVER","LUNG","LYMPH_NODES","METASTATIC_SITE","MSI_COMMENT","MSI_SCORE","MSI_TYPE","MUTATION_COUNT","NUM_ICDO_DX","ONCOTREE_CODE","OS_MONTHS","OS_STATUS","OTHER","PATHOLOGICAL_GROUP","PDL1_POSITIVE","PLEURA","PRIMARY_SITE","PRIOR_MED_TO_MSK","RACE","REPRODUCTIVE_ORGANS","SAMPLE_CLASS","SAMPLE_COUNT","SAMPLE_COVERAGE","SAMPLE_TYPE","SMOKING_PREDICTIONS_3_CLASSES","SOMATIC_STATUS","STAGE_HIGHEST_RECORDED","TMB_NONSYNONYMOUS","TUMOR_PURITY"],"molecularProfileIds":["msk_chord_2024_cna","msk_chord_2024_mutations","msk_chord_2024_structural_variants"],"availableComparisonTabs":["overlap","clinical","survival","alterations","mutations"]}}]}}

✗ error
<tool_use_error>Error: No such tool available: mcp__navigator__list_studies</tool_use_error>

▶ clickhouse_run_select_query
{
 "query": "
SELECT 
  sample_type,
  COUNT(DISTINCT sample_id) as sample_count
FROM sample
WHERE cancer_study_id = (
  SELECT cancer_study_id 
  FROM cancer_study 
  WHERE cancer_study_identifier = 'msk_chord_2024'
)
GROUP BY sample_type
ORDER BY sample_count DESC
"
}

◀ result
{"error_message":"Query execution failed: HTTPDriver for https://dl96orhu96.us-east-1.aws.clickhouse.cloud:8443 received ClickHouse error code 47\n Code: 47. DB::Exception: Unknown expression identifier `sample_type` in scope SELECT sample_type, COUNTDistinct(sample_id) AS sample_count FROM sample WHERE cancer_study_id = (SELECT cancer_study_id FROM cancer_study WHERE cancer_study_identifier = 'msk_chord_2024') GROUP BY sample_type ORDER BY sample_count DESC. (UNKNOWN_IDENTIFIER) (version 26.4.1.2359 (official build))\n"}

▶ clickhouse_list_table_columns
{
 "table": "sample"
}

◀ result
{"columns":[{"name":"internal_id","type":"Int64","comment":"Primary key. Unique internal identifier for the sample."},{"name":"stable_id","type":"String","comment":"Stable identifier for the sample within the study. Combined with cancer_study_identifier forms sample_unique_id."},{"name":"patient_id","type":"Int64","comment":"Foreign key to patient.internal_id. Links sample to its patient."}]}

▶ clickhouse_list_table_columns
{
 "table": "clinical_data_derived"
}

◀ result
{"columns":[{"name":"internal_id","type":"Int32"},{"name":"sample_unique_id","type":"String","comment":"Globally unique sample ID: cancer_study_identifier + \"_\" + sample.stable_id. Empty for patient-level attributes. Use this for sample filtering and joins."},{"name":"patient_unique_id","type":"String","comment":"Globally unique patient ID: cancer_study_identifier + \"_\" + patient.stable_id. Present for both sample and patient-level attributes."},{"name":"attribute_name","type":"LowCardinality(String)","comment":"Clinical attribute name (e.g., SAMPLE_TYPE, CANCER_TYPE, AGE, OS_MONTHS). Use with attribute_value for filtering. AGE may be floored or capped for de-identification (e.g. all children recorded as 18, or everyone 89+ recorded as 89 or 90): before age statistics check for a pile-up at the min/max, and if present compute age from DAYS_TO_BIRTH (-days / 365.25)."},{"name":"attribute_value","type":"String","comment":"Value of the clinical attribute (String). For SAMPLE_TYPE: Primary, Metastasis, Local Recurrence, Unknown. Missing values are empty strings, so use toFloat64OrNull(attribute_value) for numeric comparisons — CAST fails on them."},{"name":"cancer_study_identifier","type":"LowCardinality(String)"},{"name":"type","type":"LowCardinality(String)","comment":"Data level: \"sample\" for sample-level attributes (e.g., SAMPLE_TYPE), \"patient\" for patient-level attributes (e.g., AGE, OS_MONTHS)."}]}

▶ clickhouse_run_select_query
{
 "query": "
SELECT 
  attribute_value as sample_type,
  COUNT(DISTINCT sample_unique_id) as count
FROM clinical_data_derived
WHERE cancer_study_identifier = 'msk_chord_2024'
  AND attribute_name = 'SAMPLE_TYPE'
GROUP BY attribute_value
ORDER BY count DESC
"
}

◀ result
{"rows":[{"sample_type":"Primary","count":15928},{"sample_type":"Metastasis","count":8878},{"sample_type":"Unknown","count":136},{"sample_type":"Local Recurrence","count":98}]}

═ answer (success)
**The MSK-CHORD Study contains 15,928 primary samples.**

This represents the largest fraction of the study's 25,040 total samples. The remaining samples are distributed as:
- **Metastasis:** 8,878 samples
- **Unknown:** 136 samples  
- **Local Recurrence:** 98 samples

You can explore the MSK-CHORD Study here: [MSK-CHORD (MSK, Nature 2024)](https://www.cbioportal.org/study?id=msk_chord_2024)