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Automatic Video Face Anonymization MCP, Reversible Restore — NoonAI DIS

get_pricing_policy

Return the flat MCP billing policy for image/video requests.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the disclosure burden; it does add one behavioral fact by calling the policy 'flat', implying pricing does not vary per request or volume. However, it says nothing about whether this is a static/read-only lookup, whether credentials are required, or whether values can change over time, and no annotations fill those gaps.

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?

A single front-loaded sentence with no filler, and the resource is stated before the qualifier. Minor redundancy in restating 'MCP' alongside 'billing policy' keeps it from being maximally tight.

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 zero parameters and an output schema present, the description does not need to explain return values, and the one sentence covers what the tool yields. The remaining gap is routing context against the several sibling billing tools, which the description never addresses.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description correctly implies the call is parameterless and scoped by nothing beyond the tool itself.

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?

States a specific verb ('Return') and a specific resource ('flat MCP billing policy for image/video requests'), which is clear enough to act on. It does not explicitly differentiate itself from billing-flavored siblings such as get_billing_status or get_usage_summary, leaving the agent to infer the difference from naming alone.

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

Usage Guidelines2/5

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

The description gives no when-to-use condition, no prerequisites, and no mention of the confusable siblings (get_billing_status, get_usage_summary, purchase_credits) in a cluster where picking the wrong billing tool is a realistic error. It only implies usage through the word 'policy'.

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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