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The Profound Agency

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A question in plain words, answered from theprofound.agency with source URLs: publication prices, whether a category can advertise on a channel, the fee, refund terms, definitions, channel requirements, and anything the FAQs, glossary, channel pages or articles cover. Answers are quoted or read from live data, never generated; answer is null when the site does not cover it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe question, e.g. "How much does USA Today cost?"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavior beyond that: answers are 'quoted or read from live data, never generated' and 'answer is null when the site does not cover it', disclosing provenance and the failure mode.

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?

Purpose is front-loaded in the opening clause, and the longer topic enumeration earns its space by delimiting scope. It is a single dense sentence with minor list padding but no wasted framing.

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 carries the burden of return-value semantics and does so: it explains sources (source URLs), answer provenance (quoted/live, not generated), and the null case. Only the decision boundary against sibling tools is missing.

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% and there is a single parameter with an example in the schema, so the baseline is 3. The description reinforces the expected input format ('a question in plain words') but adds no meaning beyond the schema example.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a concrete verb (answer a question) and resource (theprofound.agency content) and enumerates the topic areas it covers, giving a clear sense of scope. However, it never distinguishes itself from overlapping siblings such as can_i_advertise (explicitly listed as covered) or list_capabilities, so an agent cannot tell which entry point to pick.

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?

The topic list implicitly signals when the tool is applicable, and the null-answer clause signals its limits, but there is no explicit when-to-use/when-not guidance and no routing to alternatives despite heavy sibling overlap with can_i_advertise and the listing 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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