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mcp_audit_architecture

Audit technical solutions by scanning a 7-dimension matrix with web intelligence and knowledge base history, returning structured vulnerability list with severity and coverage metadata.

Instructions

Architecture review — 7-dimension matrix scan with web intelligence and KB history.

Args: proposed_solution: The technical solution text to review. tech_stack_keywords: Core tech/framework keywords for intelligence retrieval. relevant_local_context: Relevant local code snippets (caller must supply). project_id: Optional project identifier for project-level KB.

Returns: Structured vulnerability list with severity, matrix coverage, and audit metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposed_solutionYes
tech_stack_keywordsYes
relevant_local_contextYes
project_idNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the tool performs a scan and returns a vulnerability list, implying a read-only audit. However, it does not disclose potential side effects, permissions needed, or whether the tool modifies any state.

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 concise with a brief summary and a well-organized Args list. It is front-loaded with the core purpose. Minor waste: the 'Args:' line could be integrated, but overall structure is clean.

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?

Given 4 parameters, no output schema, and no annotations, the description adequately explains the inputs and outputs. It mentions the tool uses web intelligence and KB history, but lacks examples or detailed methodology. Still, it covers the essential information for an agent to understand and invoke the tool.

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 schema has 0% description coverage, but the description's Args section explains each parameter (proposed_solution, tech_stack_keywords, etc.) in plain language, adding meaning beyond the schema titles. This effectively compensates for the lack of schema descriptions.

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 clearly states the tool performs an architecture review using a 7-dimension matrix scan with web intelligence and KB history. It distinguishes itself from the sibling tool mcp_kb_update, which suggests a different purpose.

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 context for when to use the tool (architecture review) and lists required parameters. However, it does not explicitly exclude scenarios or mention alternatives, though the sibling tool is a different function.

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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