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callTool

Run a tool on a life science API or database to access genes, proteins, compounds, pathways, literature, and clinical data. Specify source and parameters to retrieve targeted biomedical information.

Instructions

Execute a tool on a life science source

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
paramsNo
sourceYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of behavior disclosure. It only says 'execute a tool' and omits side effects, auth requirements, error behavior, whether execution is remote, and what a successful call returns. This is effectively a placeholder for behavioral traits.

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?

The description is a single front-loaded sentence with no filler. It is concise, but the brevity comes at the cost of substance; there is room to add a second sentence clarifying source/tool meanings without hurting clarity.

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

Completeness1/5

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

For a 3-parameter tool with no annotations and no output schema, a one-sentence description is far from complete. It leaves unclear how to populate params, where to get valid source/tool values, what the response looks like, and how this tool fits the workflow.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate for the bare string/object types. It adds only the weak hint that 'source' is a life science source and 'tool' is the thing being executed; the required params object and accepted values/formats are completely unspecified.

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 states a concrete action (execute) and a resource (a tool on a life science source), and the contrast with siblings searchTools/getToolInfo suggests this is the invocation sibling. However, it doesn't explain what constitutes a tool, so the purpose is clear but not fully elaborated.

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

Usage Guidelines2/5

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

No guidance is given on when to choose callTool over searchTools or getToolInfo, nor any prerequisite such as discovering valid source/tool names. The context signals list siblings, but the description itself provides no routing or exclusions.

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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