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validate_project_agents

validate_project_agents

Validate agent blueprints and guardrail artifacts for consistency, tool coverage, and MCP integration readiness in SAPUI5 development projects.

Instructions

Validate generated agent blueprint and guardrail artifacts for consistency, tool coverage, and MCP integration readiness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
blueprintPathNo
agentsGuidePathNo
mcpConfigPathNo
requireMcpConfigNo
strictNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
checksYes
errorsYes
strictYes
summaryYes
detectedYes
warningsYes
blueprintPathYes
recommendedActionsYes
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 burden. It states the tool validates for 'consistency, tool coverage, and MCP integration readiness,' which implies a read-only analysis, but doesn't disclose behavioral traits like whether it modifies files, requires specific permissions, has side effects, or provides detailed error reporting. For a validation tool with 5 parameters, this is insufficient to inform safe and effective use.

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 a single, efficient sentence that front-loads the core purpose without fluff. Every word contributes directly to explaining what the tool does, making it appropriately sized and well-structured for quick comprehension.

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?

Given the tool's complexity (5 parameters, validation focus) and the presence of an output schema (which handles return values), the description is minimally adequate but incomplete. It lacks parameter details, usage context, and behavioral disclosures, which are critical for a validation tool in a server with many siblings. The output schema mitigates some gaps, but overall completeness is limited.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning none of the 5 parameters have descriptions in the schema. The tool description adds no parameter semantics—it doesn't explain what 'blueprintPath', 'agentsGuidePath', etc., represent, their formats, or how they interact. This leaves parameters undocumented, failing to compensate for the schema gap.

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 clearly states the tool's purpose: 'Validate generated agent blueprint and guardrail artifacts for consistency, tool coverage, and MCP integration readiness.' It specifies the verb ('validate') and the resources ('agent blueprint and guardrail artifacts'), and outlines the validation criteria. However, it doesn't explicitly differentiate from sibling tools like 'validate_project_skills' or 'validate_ui5_code', which reduces clarity in a crowded toolset.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing (e.g., after generation steps), or exclusions. With many sibling tools for validation and analysis, the lack of contextual usage hints leaves the agent guessing about appropriate scenarios.

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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