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Get claim status

get_claim_status
Read-only

Check whether the user has confirmed a claim created with claim_app. While the user hasn't confirmed yet it returns {status: 'pending'} — wait a few seconds and call again (the link expires in 30 minutes). Once claimed it returns the REAL app id, the install snippet and the hosted privacy-policy URL: replace any placeholder (YOUR_APP_ID) snippet with the real one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe claim code returned by claim_app.

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description reveals key behaviors: pending status shape, the 30-minute link expiry, and the fact that on success it returns the real app ID, install snippet, and privacy-policy URL. It also instructs to replace the placeholder, which is non-obvious and valuable. No contradiction with annotations.

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 sentences, front-loaded with the primary purpose, and every detail earns its place. It is concise without being under-specified, and the structure flows logically from purpose to behavior to usage note.

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?

Given the simple 1-parameter schema and no output schema, the description fully explains both the input (claim code) and the output shape (pending vs. successful response with real ID and snippet). It even covers the expiry behavior and post-processing instruction. Nothing 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?

The schema fully describes the only parameter (code) with a description matching the tool's mention. The description does not add any additional semantics beyond what the schema already provides, so the baseline score of 3 is appropriate.

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 description states a specific verb and resource: 'Check whether the user has confirmed a claim created with claim_app.' This clearly distinguishes it from siblings like claim_app (which creates the claim) and get_install_snippet (which retrieves a snippet but not for pending claims). The purpose is unambiguous.

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 provides clear when-to-use context: it is the polling tool for claim confirmation. It also tells the user to wait and call again if status is pending. However, it doesn't explicitly state when not to use it or name alternatives, so a 4 is appropriate.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: check_ai_act classifies AI risk, check_store and check_website audit different platform listings, claim_app creates an app, generate_policies drafts legal docs, get_claim_status tracks claim confirmation, and get_install_snippet provides installation code. No two tools overlap in function.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case (e.g., check_ai_act, claim_app, generate_policies). The naming is predictable and easy to understand.

Tool Count5/5

Seven tools is a well-scoped set for the server's purpose: three for compliance checks, one for app creation, one for policy generation, one for status tracking, and one for installation snippets. Each tool earns its place without being excessive.

Completeness4/5

The tool surface covers the primary workflows: checking compliance, creating an app, generating policies, and installation. A minor gap is the lack of update/delete tools for apps, but the core lifecycle is covered. Agents can successfully complete the intended tasks.