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Get Entity Summary

pubchem_get_summary
Read-onlyIdempotent

Get descriptive summaries for PubChem entities by ID. Supports assays (AID), genes (Gene ID), proteins (UniProt accession), and taxonomy (Tax ID). Up to 10 per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entityTypeYesEntity type. Determines ID format and returned fields.
identifiersYesEntity identifiers (1-10). Type depends on entityType: - assay: AID (number), e.g. [1000] - gene: Gene ID (number), e.g. [1956] - protein: UniProt accession (string), e.g. ["P00533"] - taxonomy: Tax ID (number), e.g. [9606]

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent when the call failed. Absent on success.
noticeNoRecovery guidance when one or more identifiers were not found.
summariesNoSummary results.
entityTypeNoEntity type queried.
foundCountNoIdentifiers resolved to a summary.
requestedCountNoIdentifiers requested.

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description adds 'Get descriptive summaries' and lists supported entities, which is consistent, but it does not describe potential failure modes, rate limits beyond batch size, or whether summaries are returned as a list or single object.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences front-load the core purpose ('Get descriptive summaries for PubChem entities by ID') and then add key constraints. No filler or repetition beyond the schema, though the enumeration of entity types partly duplicates the enum property. Otherwise it is dense and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema, the description doesn't explain what a summary contains (e.g., names, descriptions, cross-reference counts), and it doesn't mention return format. The batch limit and ID formats are present but largely duplicative of the input schema. A bit more on output shape would help agents set expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides ~100% coverage: entityType enum with descriptions, identifiers with per-type ID formats (AID, gene, UniProt, Tax ID) and min/max items. The description mostly repeats schema info ('Supports assays...', 'Up to 10 per call'), adding only the 'descriptive summaries' wording, so it offers minimal extra meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the operation ('Get descriptive summaries'), the input kind ('by ID'), and enumerates the four supported entity types (assay, gene, protein, taxonomy). Although the schema enum already lists types, the description frames them in terms of the ID formats they accept, which helps an agent map the tool to the right use case immediately.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description tells the agent what the tool does and that it accepts up to 10 IDs per call, which is already encoded in the schema's maxItems. It does not name sibling tools (like pubchem_get_bioactivity) or state when to prefer this summary tool over a search or retrieval sibling, leaving routing partly to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.3/5.0
Disambiguation4/5

Tools cleanly separate into search (compounds, assays) and retrieval (details, structure, image, safety, xrefs, bioactivity, interactions, summary). The only mild overlap is bioactivity versus interactions, but their descriptions clarify that one focuses on assay outcomes and the other on drug-drug/food/chemical-target records.

Naming Consistency5/5

All tools follow a consistent pubchem_<verb>_<object> pattern, with get_ for retrieval and search_ for discovery. Minor variations like pubchem_get_summary still fit the same convention clearly.

Tool Count5/5

Ten tools is well-scoped for a PubChem client: search entry points, compound detail retrieval, structural representations, safety data, interaction data, and cross-reference lookups. Each tool earns its place without redundancy.

Completeness5/5

The surface covers the core PubChem workflows: finding compounds and assays, retrieving compound properties and structures, and exploring bioactivity, safety, interactions, and cross-references. Search results feed directly into retrieval tools, and paging is provided where needed, leaving no obvious dead ends.