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search_endpoints

Free. Search fetcher.sh's web-data endpoints (Twitter/X, YouTube, TikTok, Instagram, Reddit, Google, Google Maps, Google News, Google Play, App Store, Yelp) by keyword and/or service. Returns paths, descriptions and per-call prices. Start here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoKeywords, e.g. 'twitter followers' or 'reviews'
serviceNoRestrict to one service slug, e.g. 'twitter'

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations supplied, the description carries the transparency burden. It discloses that the search is free, that it is a search operation (therefore read-only in nature), and exactly what it returns: paths, descriptions, and per-call prices. It does not discuss pagination or auth, but those are not critical for this kind of catalog lookup.

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?

Three short sentences with no filler. The long service list is justified because it defines the catalog scope, and the key facts ('Free', what it returns, 'Start here') are front-loaded or clearly placed.

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?

For a simple, optional-parameter discovery tool with no output schema, the description says enough: what it operates on, how to scope a search, what will be returned, and the cost of the search call. It could optionally mention behavior with no query or the result-set structure, but that is a minor gap.

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 100%, so both parameters are already documented with examples. The phrase 'by keyword and/or service' aligns with query and service but adds no new format, defaults, or validation details; the schema already carries the load.

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 names a specific action ('Search'), a concrete resource ('fetcher.sh's web-data endpoints'), and the two search dimensions (keyword and/or service). It also states what it returns (paths, descriptions, per-call prices), which distinguishes this catalog-discovery tool from sibling tools that fetch actual data.

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?

'Start here' provides an implied usage context: this is the discovery entry point for the endpoint catalog. However, it does not explicitly say when to use a service-specific sibling such as twitter_search or describe_endpoint, nor does it tell the agent what to do after finding an endpoint.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct role: discovery (search_endpoints), inspection (describe_endpoint), data retrieval (fetch_data), balance checking (check_balance), and credit top-up (topup_credits). There is no meaningful overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: check_balance, describe_endpoint, fetch_data, search_endpoints, topup_credits. The naming conventions are uniform and predictable throughout.

Tool Count5/5

Five tools is well-scoped for this server's purpose as an API gateway and credit manager. Each tool covers a necessary part of the workflow without redundancy or bloat.

Completeness5/5

The tool set covers the full user journey: discover endpoints, inspect endpoint details, fetch data, check remaining credits, and top up credits. There are no obvious dead ends or missing operations for the stated domain.

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