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Plan Comply — SANS 10400 Building Plan Pre-Screening AI

get_credit_pricing

Retrieve official Plan Comply pre-submission plan audit credit packages, volume discounts, and checkout details.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It mentions 'checkout details' but never says whether this is a static price list, whether prices vary by jurisdiction or plan, whether checkout requires an authenticated account or initiates a transaction, or whether any side effects occur. For a commerce-facing tool with zero annotation coverage this is a significant gap.

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?

A single front-loaded sentence with the verb and all three resource categories, and no filler. Nothing could be removed without losing scope information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description is the only source of information about results, yet it does not say what the response looks like (price tiers, package sizes, a checkout link?). For a zero-parameter lookup tool the purpose is adequate, but an agent cannot predict the return payload.

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, which is the baseline-4 case; there is nothing for the description to disambiguate. The description does implicitly confirm the call is argument-free by framing it as a plain retrieval.

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 gives a specific verb ('Retrieve') and a concrete resource set: plan audit credit packages, volume discounts, and checkout details. An agent can immediately distinguish this pricing/commerce tool from the compliance-calculation siblings. It stops short of naming a sibling or explicitly stating it is the only pricing tool, so it is not a 5.

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?

Usage is only implied: an agent infers it should call this when it needs credit costs or purchase information. There is no explicit statement of when to call this versus the compliance tools, nor any prerequisite or exclusion. The narrow pricing scope makes the inference easy, but the guidance is not spelled out.

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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