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Find Litescrape tools

find_tools
Read-onlyIdempotent

Find the Litescrape tools for a task beyond the ones listed here: AI answers, maps details and reviews, app stores, retailers, real estate, jobs, social media, web pages and more. Describe the task in q to get the best matches first, or pass names to fetch specific tools. Each tool comes with its description and whether it works without an API key; best matches and named tools also carry their input schema. Run one with call_tool.

Input Schema

NameRequiredDescriptionDefault
qNoThe task, in plain language, e.g. "track competitor prices on Amazon"
limitNoMost tools to return for q; default 5
namesNoTool names to fetch with their input schemas, instead of q

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint and idempotentHint, so the safety profile is covered. The description adds behavior the annotations do not: each result carries a description, an API-key requirement flag, and an input schema for best matches/named tools. It omits rate limits or result-count behavior, keeping it below a 5.

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 dense sentences are front-loaded with purpose, then modes, then return contents and the execution hand-off. Each sentence carries distinct, non-redundant information with no filler.

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 correctly takes on the burden of explaining return values (descriptions, API-key status, input schemas) and the call_tool hand-off. It is nearly complete, missing only guidance on the limit parameter and pagination/result-count expectations.

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 q, limit and names with examples. The description restates the q-vs-names modes and what each returns but adds little syntactic detail beyond the schema, and it never mentions limit, so the baseline 3 applies.

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 states a specific verb+resource ("Find the Litescrape tools") and immediately differentiates this discovery catalog from the sibling search tools by listing the domains it indexes and routing execution to call_tool. An agent can tell this is a meta-discovery tool rather than a web search without opening the schema.

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?

It gives explicit context for use ("for a task beyond the ones listed here") and names the two invocation modes (describe task in q, or pass names) plus the follow-up action ("Run one with call_tool"). It stops short of stating when an agent should NOT use it or prefer a sibling search tool, so it is clear but not exhaustive.

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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