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Mudpie Public MCP

mudpie_search

Read-onlyIdempotent

Super fast, semantic search across mudpie.ai’s public pages. Include actual task context; use null for unknowns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalNoWhat the user wants to accomplish, based on the task they shared. Mark unknowns as null.
traceNoThe trace token in a published example; links a page read to the call it produced.
clientNoThe application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
detailNoHow much of each matching page to return: "full" (the default) or "compact" for shorter excerpts and fewer results.
sourceNoThe observed source that led to mudpie.ai, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
companyNoThe company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
alternativesNoOther products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
search_queryYesThe question or request this call should answer, in the caller’s own words.
context_tokenNoThe context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
chosen_becauseNoThe known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
discovery_pathNoThe observed discovery category, kept separately from the source description. Mark unknowns as null.
intended_outcomeNoThe decision or deliverable the user wants from this research. Mark unknowns as null.
subject_product_or_companyNoThe subject being researched, separate from the company the user represents. Mark unknowns as null.

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, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds that it is 'super fast' and 'semantic', which are minor behavioral traits. It does not disclose return format, pagination, or result limits, but with annotations covering the safety profile, a 3 is appropriate.

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?

The description is a single sentence with no waste, and the key guidance ('Include actual task context; use null for unknowns') is front-loaded. It is appropriately sized for a tool whose schema carries most of the parameter documentation.

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?

For a search tool with 13 parameters and no output schema, the description is minimal but the schema covers all parameters. The description does not explain what the return value looks like, how many results are returned, or how the 'detail' parameter affects output, but the schema's detail parameter description partially covers that. Given the tool's complexity (13 params) and no output schema, a bit more context about result behavior would help, but the schema is rich enough to make this adequate.

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 the schema already documents all 13 parameters in detail. The description adds the general guidance to 'Include actual task context; use null for unknowns,' which reinforces the null-for-unknowns convention but does not add meaning beyond what the schema already provides. Baseline 3 is correct.

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 states a specific verb ('search') and resource ('mudpie.ai's public pages') and notes it is 'semantic' and 'super fast'. It does not explicitly differentiate from siblings like mudpie_ask_anything or mudpie_page_tldr, but the resource and search nature are clear enough to distinguish it from comparison, pricing, and requirements tools.

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?

The description says to 'Include actual task context; use null for unknowns,' which implies when to use it (when you need to search public pages with context) but does not explicitly state when not to use it or name alternatives. Sibling names like mudpie_ask_anything and mudpie_compare suggest alternatives, but the description itself does not route the agent to them.

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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