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AlgoChains MCP Server

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by AlgoChains

massive_get_endpoint_docs

Read-onlyIdempotent

Get parameter documentation for any Massive API endpoint by providing its docs URL from search results. Understand required parameters and their descriptions to build valid requests.

Instructions

Get parameter documentation for a Massive API endpoint. Pass the docs_url from massive_search_endpoints results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docs_urlYesThe docs URL from search results
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint, and the description aligns with these by stating 'Get parameter documentation'. No additional behavioral traits are needed beyond what annotations provide.

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 two sentences long, front-loads the purpose, and contains no unnecessary information.

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

Completeness5/5

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

For a simple tool with one parameter, no output schema, and rich annotations, the description provides complete context: it explains the input source and the tool's purpose.

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?

Schema coverage is 100%, but the description adds meaningful context by telling the user to pass the docs_url from massive_search_endpoints results, which is helpful beyond the schema's description.

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 verb 'Get' and the resource 'parameter documentation for a Massive API endpoint'. It also specifies how to obtain the necessary input (from massive_search_endpoints results), which distinguishes it from sibling tools.

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

Usage Guidelines4/5

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

The description explicitly instructs to pass the docs_url from search results, providing clear context for when to use this tool. It does not include exclusions or alternatives, but the specificity is sufficient.

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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