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get_published_intelligence_sample

Free, read-only sample of one worker-published intelligence product. Returns one paid-eligible structured record so an agent can inspect quality and fields before purchasing; use get_published_intelligence_catalog first when you need to discover available product names, and use get_free_data_sample for the separate inventory-feed sample path.

Input Schema

NameRequiredDescriptionDefault
productYesExact published-intelligence product key from get_published_intelligence_catalog. Select the product whose representative paid-eligible sample you want to inspect.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / product / description
      Added value: +"Exact published-intelligence product key from get_published_intelligence_catalog. Select the product whose representative paid-eligible sample you want to inspect."
  2. Added

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it declares the operation is 'Free' and 'read-only' and that it returns 'one paid-eligible structured record' for inspection before purchase. It doesn't mention rate limits or any auth requirement, but for a free read-only sample the key behavioral facts are covered.

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?

Front-loaded with the essential nature of the tool ('Free, read-only sample...') followed by return semantics and sibling routing in a single dense sentence. Every clause earns its place, though the semicolon-chained alternatives make it slightly run-on.

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?

No output schema exists, so the description compensates by explaining the return ('one paid-eligible structured record' for inspecting quality and fields). Combined with the fully-covered single param and explicit sibling routing, an agent has enough to invoke correctly, though return fields aren't enumerated.

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 single 'product' param and its enum are already fully documented in the schema. The description adds only framing ('one worker-published intelligence product') beyond the schema, which is the baseline expectation rather than extra value.

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 ('read-only sample of one worker-published intelligence product') and clarifies scope ('one paid-eligible structured record'). It explicitly distinguishes itself from two siblings, get_published_intelligence_catalog (discovery) and get_free_data_sample (inventory-feed path), so an agent can select it without opening other schemas.

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?

Gives the exact precondition and alternative routing: use get_published_intelligence_catalog first to discover product names, and get_free_data_sample for the separate inventory-feed sample path. The use case (inspect quality/fields before purchasing) is stated, so when-to-use and when-to-use-something-else are both explicit.

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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