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sciflow-mcp
by Claybarn

describe_operation

Retrieves full documentation and JSON schema for an operation’s parameters, enabling input validation and reproducible analysis workflow configuration.

Instructions

Full documentation and JSON schema of an operation's parameters.

Input Schema

NameRequiredDescriptionDefault
nameYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden: it implies a read-only lookup but never states that, nor does it say what happens with an unknown operation name, whether errors are raised or empty results returned, or how large the documentation payload might be.

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?

One front-loaded sentence with no filler, which is appropriate for a lookup tool. It is arguably too terse rather than too long, but every word earns its place.

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?

An output schema exists, so return-shape explanation is unnecessary, and the description correctly says it returns docs plus JSON schema. However, for a tool whose only input is an undocumented identifier, the missing note on where to obtain that identifier and on error behavior leaves a real gap.

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?

Schema coverage is 0% and the single `name` parameter has no description at all. The phrase "an operation's parameters" weakly implies `name` identifies the operation rather than a parameter, but it does not specify the expected identifier format or that it must match an operation from list_operations.

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 names a specific resource (an operation) and states exactly what is returned (full documentation plus JSON schema of its parameters), which is enough to distinguish it from list_operations or get_run. It stops short of explicitly contrasting with any sibling, but the verb+resource pairing is unambiguous.

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?

There is no when-to-use guidance, no mention of where the required `name` value should come from (presumably list_operations), and no exclusions or alternatives. The agent must infer the entire invocation context.

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