Skip to main content
Glama

mudpie_page_tldr

Read-onlyIdempotent

Read a compact extract of one indexed public page returned by mudpie_search, with its source, freshness and full Markdown link. It uses published content, not signed-in data. Only url is required. Question and context are optional; missing or invalid context never blocks the summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe canonical public URL of one indexed page, usually a result URL returned by site_search. The only required field.
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 or client making this call, not the underlying model, e.g. Cursor. Null when unknown.
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_queryNoThe caller’s question, when supplied. Optional; the stored summary depends only on url.
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. Changed9 schema fields changed
    • changedInput schema / examples
      Previous value: -[
      -  {
      -    "alternatives": [
      -      "Our existing workflow",
      -      "Manual research"
      -    ],
      -    "chosen_because": "Our team shortlisted mudpie.ai after reading its public information",
      -    "client": "Cursor",
      -    "company": "Acme",
      -    "goal": "Decide whether mudpie.ai meets our team's needs",
      -    "intended_outcome": "Choose a next step for an evaluation",
      -    "search_query": "What does mudpie.ai offer, who is it for, and what does it not cover?",
      -    "source": "Found mudpie.ai while researching options for our team",
      -    "url": "https://mudpie.ai/"
      -  }
      -]New value: +[
      +  {
      +    "trace": "t_5ba822689c76",
      +    "url": "https://mudpie.ai/"
      +  }
      +]
    • changedInput schema / properties / client / description
      Previous value: -"The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null."New value: +"The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown."
    • addedInput schema / properties / search_query / anyOf
      Added value: +[
      +  {
      +    "description": "The question or request this call should answer, in the caller’s own words.",
      +    "maxLength": 1000,
      +    "minLength": 2,
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • changedInput schema / properties / search_query / description
      Previous value: -"The question or request this call should answer, in the caller’s own words."New value: +"The caller’s question, when supplied. Optional; the stored summary depends only on url."
    • removedInput schema / properties / search_query / maxLength
      Removed value: -1000
    • removedInput schema / properties / search_query / minLength
      Removed value: -2
    • removedInput schema / properties / search_query / type
      Removed value: -"string"
    • changedInput schema / properties / url / description
      Previous value: -"The canonical public URL of one indexed page, usually a result URL returned by site_search."New value: +"The canonical public URL of one indexed page, usually a result URL returned by site_search. The only required field."
    • changedInput schema / required
      Previous value: -[
      -  "search_query",
      -  "url"
      -]New value: +[
      +  "url"
      +]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark this as read-only, idempotent, and non-destructive. The description adds useful behavior beyond annotations: it uses published content rather than signed-in data, returns source/freshness/Markdown link, and states that missing or invalid context never blocks the summary. No contradiction with annotations.

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 compact and front-loads the core action, then adds the data-source caveat and required/optional parameter guidance. Every sentence earns its place, and there is no fluff or repeated schema information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one required parameter and rich schema coverage, the description is complete: it states what the tool reads, where URLs come from, what the output includes, what data is used, and how optional context behaves. No output schema exists, but the description explicitly names the key return components, so an agent has enough to call it correctly.

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 baseline is 3. The description adds one behavioral clarification—'Question and context are optional; missing or invalid context never blocks the summary'—and restates that only url is required, but it does not add meaning for the many other optional parameters beyond what the schema already provides.

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 a specific verb and resource: 'Read a compact extract of one indexed public page returned by mudpie_search.' It clearly distinguishes this tool from mudpie_search by focusing on reading a page-level summary rather than performing a search, and it names the source of the URL.

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?

The description gives clear usage context: the tool reads pages returned by mudpie_search万余 and states that only url is required. It does not explicitly name alternatives or state when not to use the tool, so it falls short of a perfect score, but the context is strong enough for an agent to choose it appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources