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websearch__searchbatch

Batch search: up to 10 queries in ONE $0.01 call. GET ?queries=a,b,c or POST {"queries":[...]}. Optional limit, sources, format=md. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: POST https://api.firstmention.uk/s/websearch/searchbatch

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "websearch__searchbatch"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
queriesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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 disclosure burden and does well: it reveals the cost ($0.01 per call, not per query), the payment mechanism (USDC on Base eip155:8453 via x402 in _meta), the transport (GET/POST over HTTP), and the endpoint. It does not state rate limits, failure/refund behavior, or whether the query cap is hard-enforced.

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?

Dense and front-loaded: the batch capacity and price come first, then invocation syntax, options, payment, and endpoint. It is efficient but reads as a compressed spec sheet with fragmented clauses rather than clean sentences.

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 2-parameter paid search tool with no output schema, it covers pricing, payment, transport, and endpoint - the essentials an agent needs to call it. Missing are return shape (since no output schema exists) and clarity on the 'sources' option that appears in neither schema nor detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must supply parameter meaning, but it only names them in passing ("Optional limit, sources, format=md"). Notably 'sources' and the format option are not even present in the documented input schema, and there is no explanation of what limit counts, valid source names, or array-vs-comma-separated handling.

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?

States a specific verb and resource: batch search of up to 10 queries in one paid call. It distinguishes itself from the sibling websearch__search by the batch capacity and the flat $0.01 price, and names both GET query-string and POST body invocation forms.

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?

Clear context is implied: use this when you have multiple queries to run cheaply in one paid call. It never explicitly says when to prefer websearch__search instead (e.g., a single query, or when you need a different format), so the exclusion is left to inference.

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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