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Claspine

Get the exact calls for a task

get_recipe
Read-onlyIdempotent

Copy-ready HTTP calls for a common task on Claspine Atlas or the self-hosted engine, in curl, Node.js, Python, Go or Java, checked against Claspine's API on every build. Without task: the list.

Input Schema

NameRequiredDescriptionDefault
formNoWhere Claspine runs (default: the first the recipe supports).
taskNoRecipe slug or words, for example "file-upload" or "refund".
languageNoCode language (default curl; "all" for every language).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive and closed-world, so the bar is lower. The description adds real value beyond them: recipes are validated against the live API on every build (a freshness guarantee), reads are non-mutating and safe to repeat, and the return shape flips between a single recipe and a list depending on whether task is supplied -- important given there is no output schema.

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?

Two tight sentences with the core capability front-loaded and the no-task fallback appended where it belongs. The language list partially duplicates the schema enum, but it reads naturally and costs little.

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?

All three parameters are optional and fully documented, there is no output schema, and the description covers both possible return shapes plus a freshness guarantee. What is thin is the routing story against ten sibling tools, which the description does not address at all.

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 description coverage is 100%, with per-parameter descriptions and enums for form and language, so the schema carries the semantics. The description echoes the supported languages and both deployment forms but adds no syntax or format detail beyond that, and does not clarify the 'all' language option.

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?

Specific verb+resource: it returns copy-ready HTTP call recipes for a named task, in a chosen language and form. It is clearly distinct in kind from siblings like search_docs or explain_error, but it never names an alternative or states the boundary against api_reference or get_guide, so the agent must infer which of the reference-ish tools to pick.

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?

"Without task: the list" implies a browse mode versus a lookup mode, which is genuine usage guidance, but no when-to-use or when-not-to-use condition against siblings is given. Nothing tells the agent whether api_reference or get_guide is preferred for API surface questions.

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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