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eliottreich

Crawdar Business Research

Test the Crawdar contract

sandbox_businesses
Read-onlyIdempotent

Test schemas, clients, and agent loops with deterministic fictional business data, avoiding provider capacity limits.

Instructions

Return deterministic fictional businesses without consuming provider capacity. Use this to test schemas, clients, and agent loops.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoFictional business type echoed into deterministic test results.
geographyNoFictional location echoed into deterministic test results.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYesMaximum prospects requested for this page.
offsetYesZero-based offset of this page.
hasMoreYesWhether another result page is available.
resultsYes
warningsYesLimitations the agent should retain with downstream data.
requestIdYesRequest identifier for support and diagnostics.
durationMsNo
nextOffsetNoOffset for the next synchronous result page, or null when complete.
diagnosticsNoSource status and explained candidate exclusions.
resultCountYesTotal accepted prospects before response pagination.
returnedCountYesProspects returned in this response page.
schemaVersionYesVersion of the result contract.
searchedSourcesYesDiscovery and first-party source types consulted.
remainingFreeSearchesNo

Schema Changelog

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

  1. First observedv1.0.0

TDQS

A5/5.0
Behavior5/5

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

The description clearly indicates the tool returns fictional deterministic data and has no provider-side consumption, aligning with the readOnlyHint annotation. It also implies idempotency through 'deterministic' and is consistent with the destructiveHint false annotation. No behavioral contradictions are present.

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 tightly written in two sentences with no redundant wording. It front-loads the primary purpose and immediately follows with concrete usage guidance.

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?

Given the annotations, input schema, output schema, and sibling tool context, the description covers all essential information an agent needs: purpose, behavior, parameters, and safe usage. There are no missing critical details.

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

Parameters5/5

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

Both parameters are described with their meaning and role in generating deterministic test results. The schema coverage is 100%, and the description adds that values are 'echoed' into results, clarifying how the parameters affect output.

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 uses a specific verb ('Return') and clearly identifies the resource as deterministic fictional businesses. It also distinguishes this tool from production data tools by noting it does not consume provider capacity and is intended for testing schemas, clients, and agent loops.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use the tool: 'Use this to test schemas, clients, and agent loops.' This provides clear guidance on the intended scenario and helps differentiate it from the sibling search/research tools.

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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