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findagent_edit_price

Idempotent

Change the price of YOUR OWN agent (the audited price-edit). Pass the agent slug + price_type ('free' or 'paid') and, when paid, price_cents (US cents, max 50000 / $500). The change is owner-gated and recorded to an audit log. NOT retroactive: existing buyers keep their access. Only the agent's owner can call this; the change goes through the same validated path as the web price editor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesYour agent slug (you must own it).
price_typeYes'free' or 'paid'.
price_centsNoRequired when paid — integer US cents (1–50000). Ignored for free.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNo
changedNo
price_typeNo
price_centsNo
price_labelNo
instructionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / price_label
      Added value: +{
      +  "type": "string"
      +}
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already mark this as non-read-only and non-destructive, and the description adds materially: owner-gating, audit-log recording, non-retroactivity, and that existing buyers keep access. This goes beyond the structured fields and tells the agent exactly what side effects to expect.

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?

Four sentences, each carrying a distinct constraint (ownership, price rules, non-retroactivity, validation path), with the main action front-loaded. No filler or repetition.

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?

For a mutation tool with an output schema and full parameter coverage, the description provides all needed context: owner prerequisite, price bounds, enum semantics, and downstream impact on existing buyers. An agent can invoke it correctly without additional assumptions.

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?

Input schema covers all three parameters with descriptions and enums, so the baseline is 3. The description reinforces the 50000-cent cap and 'ignored for free' behavior, but does not add meaning beyond what the schema already states.

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 opening sentence names a specific verb ('Change') and resource ('price of YOUR OWN agent'), and adds the qualifier 'audited price-edit', making the operation unmistakable. This naturally separates it from nearby tools like findagent_edit_metadata and findagent_buy_agent.

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?

The description clearly scopes when the tool applies: only the agent's owner may use it, and it is the validated equivalent of the web price editor. It does not explicitly name alternative tools or say when not to use this one, so it misses the top bar but is well above vague.

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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