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materialize_recommended_agents

materialize_recommended_agents

Generate project artifacts from recommended agents by creating blueprints, guides, and MCP configurations for SAPUI5 development.

Instructions

Materialize recommended agents into project artifacts by generating blueprint/guide/prompt and optional MCP config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recommendationsNo
sourceDirNo
maxFilesNo
maxRecommendationsNo
includePackCatalogNo
packCatalogPathNo
includeSkillCatalogNo
skillCatalogPathNo
includeSkillFeedbackRankingNo
skillMetricsPathNo
minSkillExecutionsNo
maxSkillSignalsNo
requiredSkillTagsNo
skillSignalModeNo
skillSignalMinConfidenceNo
skillSignalMinRoleBoostNo
policyPathNo
respectPolicyNo
autoEnsureProjectMcpNo
autoEnsureApplyNo
autoPrepareProjectContextNo
autoPrepareApplyNo
autoPrepareRefreshBaselineNo
autoPrepareRefreshContextIndexNo
autoPrepareAskForMissingContextNo
projectNameNo
projectTypeNo
namespaceNo
outputDirNo
includeVscodeMcpNo
dryRunNo
allowOverwriteNo
reasonNo
maxDiffLinesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
policyYes
sourceYes
projectMcpSyncYes
scaffoldResultYes
selectionPolicyYes
projectContextSyncYes
usedRecommendationsYes
droppedRecommendationsYes
selectedRecommendationIdsYes
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions generating artifacts and optional MCP config, but doesn't disclose critical traits like whether this is a read-only or destructive operation, permission requirements, rate limits, or what 'materialize' entails (e.g., file creation, configuration changes). The term 'materialize' suggests a write action, but specifics are lacking.

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 a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be more informative given the tool's complexity. The structure is clear but under-specified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex tool with 34 parameters, 0% schema coverage, no annotations, and an output schema (which helps but isn't described), the description is inadequate. It doesn't explain the tool's behavior, parameter meanings, or interaction with siblings like 'recommend_project_agents'. The presence of an output schema mitigates some gaps, but the description fails to provide necessary context for effective use.

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% for 34 parameters, placing high burden on the description to explain them. The description mentions 'recommendations' and implies artifact generation, but doesn't clarify any parameters (e.g., what 'sourceDir', 'maxFiles', or boolean flags like 'includePackCatalog' mean). It adds minimal semantic value beyond the schema's structure.

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 action ('materialize') and the target ('recommended agents'), specifying that it generates 'blueprint/guide/prompt and optional MCP config' as project artifacts. It distinguishes from siblings like 'recommend_project_agents' (which likely provides recommendations) and 'scaffold_project_agents' (which might create basic structures), but doesn't explicitly contrast with them.

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?

No explicit guidance on when to use this tool versus alternatives is provided. The description implies it follows recommendations (possibly from 'recommend_project_agents'), but doesn't state prerequisites, when to choose it over 'scaffold_project_agents' or 'apply_agent_pack', or any exclusions. Usage context is only vaguely implied.

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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