ctpp_check
Assess if a provider might qualify as Critical Third-Party Provider (CTPP) under DORA Art. 31-44. CTTPPs face direct ESA oversight.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| provider_id | Yes | Provider ID to assess |
Assess if a provider might qualify as Critical Third-Party Provider (CTPP) under DORA Art. 31-44. CTTPPs face direct ESA oversight.
| Name | Required | Description | Default |
|---|---|---|---|
| provider_id | Yes | Provider ID to assess |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must convey behavioral traits. It states the assessment is not guaranteed ('might qualify') and adds regulatory context about ESA oversight, but it does not disclose whether the operation is read-only, what side effects exist, or how errors are handled. The lack of explicit safety or behavioral notes leaves the agent guessing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the action verb 'Assess' and clearly states the scope. It includes a helpful second sentence about the regulatory implication (direct ESA oversight) without redundancy. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (one parameter, no output schema), and the description explains its purpose well. However, it does not describe the return value or outcome format (e.g., boolean, risk score), nor does it mention any dependencies on other tools or data. This leaves a gap in what the agent can expect from the invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% as the only parameter (provider_id) is described in the schema. The description adds no additional detail about the parameter, such as expected format, required permissions, or how it relates to the assessment. Baseline 3 is appropriate since the schema already covers it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: assessing whether a provider might qualify as a CTPP under DORA Art. 31-44. It uses specific legal/regulatory terms and distinguishes this tool from siblings like concentration_risk or gap_analysis by focusing on CTPP qualification.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for CTPP qualification assessments but does not explicitly state when to use it over alternatives or provide exclusionary guidance. There is no mention of prerequisites, such as the provider being registered, or comparison with other regulatory assessment tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a clear, distinct function: CRUD operations, analytics, validation, and export. There is no meaningful overlap between gap_analysis and validate_roi—one identifies data quality gaps while the other formally checks ITS compliance.
Most tools follow a verb_noun pattern (list_providers, get_provider, export_its, validate_roi), but a few use noun_noun or noun_verb forms (concentration_risk, gap_analysis, ctpp_check, health_check). The naming is readable and consistent in style (snake_case), but not uniformly verb-led.
The 10 tools are well-scoped for a DORA Register of Information domain, covering list/get/register, multiple analysis perspectives, validation, export, and health check. Each tool earns its place without redundancy.
The surface covers the core lifecycle (create, read, update via register_provider, list, export, validate) and adds useful analysis tools. The only notable gap is a delete_provider tool for removing deprecated or erroneous entries, but this is a minor omission.