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ZengZichao

SwissBioPics MCP Server

by ZengZichao

get_swissbiopics_info

Retrieve SwissBioPics project details, including description, license, citation, and links to key resources.

Instructions

Get general information about the SwissBioPics project.

Returns a summary including the project description, license, citation, and links to key resources.

Returns: A formatted information string about SwissBioPics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does disclose the substantive behavior: this is a parameterless read that returns project description, license, citation, and resource links. It doesn't mention caching, rate limits, or error behavior, but for a static metadata endpoint that is a minor gap.

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?

Front-loaded with the purpose in the first sentence, and the following lines are short and scannable. The 'Returns:' block partially duplicates the declared output schema, which is mild redundancy, but it costs little and nothing is padded.

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

Completeness4/5

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

An output schema exists, so the description is not obliged to explain return values, yet it adds a short summary of them anyway. For a zero-parameter, no-annotation metadata tool, nothing an agent needs to invoke it correctly is missing.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline of 4 applies. There is nothing for the description to disambiguate beyond the absence of inputs.

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?

States a specific verb and resource ('Get general information about the SwissBioPics project') and enumerates the content of that information (description, license, citation, links). This clearly separates it from the sibling tools, which all query biological data (locations, cell types, SVGs) rather than project metadata. It stops just short of explicitly naming a sibling as the alternative, so a 5 isn't warranted.

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?

Usage is only implied: an agent can infer this is the tool for license/citation/project-provenance questions, but the description never states when to call it versus the data-query siblings, nor any exclusions. Adequate but leaves the routing decision to inference.

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