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refine_topical_architecture

Rifinisce con l'AI i cluster della Topical Architecture dell'ultimo audit (equivale a 'Rifinisci con AI' in app). UNA sola volta per audit: si riattiva con un nuovo audit SEO. Consuma 1 rifinitura AI del budget mensile del piano. AZIONE A PAGAMENTO: consuma 1 unità della quota mensile del piano e 1 azione MCP (tetto dedicato). Usa get_usage per i crediti residui.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full disclosure burden and does it exceptionally well. It reveals that this is a paid action consuming 1 AI refinement from the monthly budget plus 1 MCP action with a dedicated cap, that it is limited to once per audit, and how it resets. This level of cost/limit/reset transparency is rare and genuinely useful to an agent.

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?

The description is front-loaded with the action and every sentence carries operational value. However, the budget consumption is stated redundantly twice ('Consuma 1 rifinitura AI del budget mensile del piano' and 'AZIONE A PAGAMENTO: consuma 1 unità della quota mensile del piano'), and the ALL-CAPS emphasis adds noise. Still compact and well-ordered overall.

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?

For a paid, one-shot, mutation-like action with no output schema and no annotations, the description covers the most critical context: prerequisites (last audit), the once-per-audit cap, reset condition, cost, and a credit-check pointer. What's missing is any statement about what the tool returns or what happens if run without a prior audit, which would round it out.

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?

There is a single integer parameter, project_id, with 0% schema description coverage, and the description never mentions it. Although project_id is largely self-explanatory and standard across sibling tools, the description does not compensate for the schema's lack of documentation at all. Given the low coverage, a 3 is the right ceiling.

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 names a specific verb and resource ('Rifinisce con l'AI i cluster della Topical Architecture dell'ultimo audit') and anchors it to the in-app button 'Rifinisci con AI'. It clearly distinguishes itself from siblings: get_topical_architecture merely reads the architecture while this mutates/refines it, and run_audit is what re-enables it. The scope ('dell'ultimo audit') is precise.

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 gives strong usage context: it can only be run once per audit, it reactivates only with a new SEO audit, and it consumes plan quota — with a pointer to get_usage for checking residual credits. It does not explicitly state exclusions (e.g., don't run when no audit exists yet), which would have made this a 5.

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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