Skip to main content
Glama
shaiksameer667ss-prog

Biomedical Research MCP Server

get_experiment

Retrieve a single experiment by its unique ID, providing direct access to experimental details for biomedical research workflows.

Instructions

Retrieve one experiment by experiment ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
experiment_idYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations to fall back on, the description carries the full burden of disclosing behavior. It only states 'Retrieve', which implies a read-only operation, but does not mention any side effects, error conditions, or return behavior.

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

Conciseness5/5

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

The description is a single, concise sentence with no redundant or extraneous information. It gets straight to the point.

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?

The description is adequate for a simple retrieval operation but omits details that would make it fully complete, such as what the response looks like (since there is no output schema) or any potential errors. It is not severely lacking, but it leaves some gaps.

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?

The schema only provides the parameter name 'experiment_id' and its type. The description does not add any additional meaning about what constitutes a valid ID, how to obtain it, or any constraints, leaving the parameter semantics entirely to the schema.

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

Purpose5/5

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

The description clearly states the action ('Retrieve') and the target ('one experiment'), with a specific identifier (experiment ID). It is unambiguous and directly conveys the tool's purpose.

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?

The description does not provide any guidance on when to use this tool versus alternatives like 'search_experiments'. It lacks explicit context about choosing this tool for direct ID-based lookup rather than searching.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shaiksameer667ss-prog/biomedical-ai-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server