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Search for tools and resources available in the Saifs AI MCP server.

This tool allows ChatGPT to discover available tools and their capabilities. It searches through tool descriptions, names, and functionality to find relevant tools.

Args: query: The search query to find relevant tools

Returns: A JSON string containing search results with tool information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the transparency burden. It discloses that the tool searches through 'tool descriptions, names, and functionality' and returns 'a JSON string containing search results,' giving a clear picture of a read-only discovery mechanism. However, it doesn't disclose limitations such as result ordering or completeness, nor does it explicitly state that the tool does not invoke the found tools.

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 three well-structured parts: a one-sentence purpose, a two-sentence explanation, and a brief Args/Returns block. It is front-loaded and free of filler, making it easy to parse.

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 a single parameter and an output schema declared, the tool's simplicity is well covered. The description mentions the return type and that it searches through names/descriptions/functionality, which is sufficient for a search tool. It could clarify whether 'resources' are included in the search, but overall it is adequate.

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 schema provides only 'query' as a string with no description. The description compensates by explicitly documenting 'query: The search query to find relevant tools' in its Args section, adding operational meaning beyond the bare schema type.

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 opens with 'Search for tools and resources available in the Saifs AI MCP server' which is a specific verb+resource pair. It clearly distinguishes from sibling tools like generate_image or fetch, which are content operations, while this is a discovery/search meta-tool.

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?

It states 'This tool allows ChatGPT to discover available tools and their capabilities' providing clear context for when to use—when needing to find or identify relevant tools. However, it doesn't explicitly list when not to use or alternatives, though none are obvious among siblings.

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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