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Read-onlyIdempotent

Searches the website Amir Pournasserian (https://pournasserian.com/): Serial entrepreneur and hands-on AI architect. I build AI and platform systems that have to keep working once they meet production, compliance and scale. Hybrid keyword and semantic search over its 47 pages; returns the best matching pages with a short snippet each. Call fetch with a result's id or URL to read the whole page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of pages to return, 1 to 20. Default 10.
queryYesWhat to look for. Natural language or keywords.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
resultsYes
keywordOnlyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent and openWorld=false, so the safety profile is covered. The description adds real behavioral context beyond that: hybrid keyword+semantic matching, corpus size (47 pages), and that results arrive as pages with a short snippet each.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and the fetch routing are front-loaded, but the embedded bio ('Serial entrepreneur and hands-on AI architect. I build AI and platform systems...') is marketing copy that does not help an agent invoke the tool and pads the middle of the description.

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, return values need no further explanation, and annotations carry the safety profile; the description still adds corpus size, search modality and next-step routing. Complete enough to call correctly, with only the extraneous bio diluting it.

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%, so both query and limit (range 1-20, default 10) are fully documented in the schema. The description adds no syntax or format guidance beyond that, so the baseline 3 applies.

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?

States a specific verb+resource (hybrid search over a named site's 47 pages) and explicitly distinguishes itself from its only sibling by telling the agent to call fetch to read a full page. An agent can select this over fetch without opening either schema.

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?

Names the alternative (fetch) and the condition that selects it: use search to find pages, then call fetch with a result id/URL to read the whole page. Clear routing, though it never states a when-not case (e.g. skip search if you already know the URL).

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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