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Rinat Sultanov — Agent Lab

Search published AI manufacturing resources

search_public_ai_pages
Read-only

Read-only, deterministic lookup of publicly available pages on rinatsultan.com. Results are website sources, not a generated answer.

Input Schema

NameRequiredDescriptionDefault
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so 'read-only' largely restates structured data. The genuinely additive parts are 'deterministic' and the clarification that results are pages rather than an answer, but the description says nothing about result count, ranking, snippets/URLs, or empty-result behavior.

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 short sentences, front-loaded with the tool's nature and followed immediately by the output-type caveat. No filler, though the phrasing is slightly compressed rather than richly informative.

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?

The tool is simple — one parameter and no output schema — so little is strictly required, and the read-only/deterministic framing covers safety. Still, what a caller receives (list of pages with titles and URLs?) and how to formulate the query are left unstated.

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 only parameter, 'query', is never discussed in the description — no guidance on whether it is natural language, keywords, or phrases, despite the 2-400 character constraint. The single obvious parameter keeps this from being worse than baseline.

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 verb+resource ('deterministic lookup of publicly available pages on rinatsultan.com') and disambiguates the output type ('website sources, not a generated answer'). It does not, however, distinguish itself from sibling retrieval tools such as get_case_study or explore_manufacturing_pilots.

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?

Usage is only implied: the 'not a generated answer' clause hints that this is the right tool when raw source pages are wanted rather than a synthesized response. There is no explicit when-to-use/when-not statement and no routing to the sibling tools, which all appear to retrieve content from the same site.

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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