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Request pricing audit

agenta_audit_request

Ask for the free Revenue & Pricing Audit. Starts a written review of their pricing and checkout; it costs nothing and does not block going live.

Input Schema

NameRequiredDescriptionDefault
urlYesThe page on the merchant website where they sell it
businessNoAct for this business you manage (its id). Omit to act as yourself.
categoryNosaas | digital | services | marketplace | physical | other
deliveryNoinstant_digital | scheduled_service | physical_shipped | other
descriptionNoOne sentence on what it does

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already indicate this is not read-only, is open-world, and is non-destructive. The description adds useful behavioral context beyond that: the audit costs nothing and does not block going live. It does not, however, explain what happens after the request or how the written review is delivered.

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 two tightly written sentences with no wasted words. It front-loads the core action and then adds the most useful qualifying details (free, non-blocking) in the second sentence.

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?

Given the 100% schema coverage, rich annotations, and no output schema, the description provides enough context to invoke the tool correctly: it explains what the request does, that it is free, and that it is non-blocking. It could be more complete by pointing to the sibling tool for retrieving the resulting audit, but that is a minor gap.

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 itself fully documents all five parameters, including enums and the required URL. The description does not add any parameter-level meaning beyond what the schema already provides, making the baseline score of 3 appropriate.

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 specific verb-action ('Ask for') and resource ('Revenue & Pricing Audit') and explains that it starts a written review of pricing and checkout. It is clear what the tool does, but it does not distinguish itself from the sibling tool agenta_audit_show, which likely retrieves the resulting audit.

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 description implies when to use the tool by noting it is free and 'does not block going live,' but it does not explicitly say when to choose it over alternatives such as agenta_audit_show. Usage is therefore implied rather than fully guided.

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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