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Invokary Platform Requirements

Get a platform's requirements

get_platform_requirements
Read-onlyIdempotent

Returns what one platform requires before it lists an MCP connector or plugin, each requirement with its sources, evidence label and the date it was last checked. Narrow the list to one topic (category) or one product surface. Platforms: claude (Claude), chatgpt (ChatGPT), cursor (Cursor), mcp-registry (MCP Registry), ecosystem (MCP specification).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOnly requirements on this topic.
platformYesThe platform id.
productSurfaceNoOnly requirements that hold for this product surface, e.g. claude-connectors or claude-plugins.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
citationYes
platformYes
requirementsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds that results carry sources, an evidence label and a last-checked date, which is useful context but the output schema already exists to describe the return shape.

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?

Three sentences, front-loaded with the return contents before the filters and the enum values. The platform enumeration partly repeats the schema's enum, but the display-name mapping earns its place; no filler.

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?

With an output schema present and annotations covering safety, the description only needs to cover filters and identification, which it does. A brief note on ordering or result size would make it airtight, but nothing an agent needs to call 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?

Schema description coverage is 100%, so baseline is 3, but the description adds value the schema does not: it maps the opaque platform ids to display names ('claude (Claude)', 'ecosystem (MCP specification)') and explains that category and productSurface are narrowing filters over the same result set.

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+resource: returns a single platform's listing requirements, including the attached sources, evidence label and last-checked date. It is distinguishable from get_requirement (singular) and search_requirements, though it never explicitly contrasts itself with those siblings.

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?

'Narrow the list to one topic (category) or one product surface' tells the agent how the optional filters are used, but there is no when-to-use-this-vs-alternatives guidance (e.g. vs search_requirements or compare_platforms). Usage is implied rather than stated.

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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