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Shruti Kaushik: Founder GTM Research

Search sourced statistics

search_statistics
Read-only

Search a library of LinkedIn, Reddit, AI search, B2B buying and founder-led marketing statistics. Every figure includes the original publisher, date and source URL, plus the shrutikaushik.com page it is listed on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYese.g. "reddit AI citations" or "LinkedIn engagement rate"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered; the description adds substantive value by disclosing the shape of returned data (original publisher, date, source URL, host page). It omits any note on result caps or empty-result behavior, but that is a minor gap against a read-only search.

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?

Two sentences, no filler. The corpus description comes first and the return-value detail second, which is the right front-loading for a search tool.

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 no output schema, the description usefully covers what a result contains (publisher, date, URL, listing page), which is the main thing an agent needs to judge citability. A simple two-parameter read-only search is otherwise well served, with only result-count/pagination behavior 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 50%: 'query' is documented with examples in the schema while 'limit' is not. The description adds topical grounding that helps formulate the query, but says nothing about the limit parameter's cap or how query terms are matched, so it only partially compensates for the coverage gap.

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?

States a specific verb (Search) and resource (a library of sourced statistics) and enumerates the content domains covered, so an agent knows exactly what corpus is being queried. It does not explicitly contrast itself with the similarly named search_guides sibling, which is the only missing piece for a 5.

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 by the content domain: an agent can infer this is the tool for finding citable marketing/social statistics rather than prose guides. There is no explicit when-to-use, when-not-to-use, or alternative named against search_guides, answer_question, or get_guide.

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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