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Jrains-ux

code-context-storage-mcp

by Jrains-ux

knowledge_generate

Generate structured knowledge from repository snapshots and mapping IDs to enrich a code context knowledge base.

Instructions

knowledge generate

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorNo
request_idNo
mapping_idsYes
output_kindNo
snapshot_idYes
operation_idYes
tool_versionNo
repository_idYes
config_versionNo
schema_versionNo
source_revisionYes
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says only 'knowledge generate' — no mention of side effects, mutability, permissions, rate limits, or return behavior. For a tool that likely creates or updates knowledge, this is a serious gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short (one word), but this is under-specification, not effective conciseness. It does not front-load any useful information; every useful sentence is absent.

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

Completeness1/5

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

Given the complexity (11 params, 5 required, no schema descriptions, no output schema), the description is completely inadequate. An agent cannot correctly invoke this tool without guessing at parameter formats and behavior.

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

Parameters1/5

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

The schema has 11 parameters with 0% description coverage, and the tool description provides zero clarification. Parameters like 'mapping_ids', 'source_revision', and 'operation_id' are completely unexplained. The description adds no meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is literally 'knowledge generate' — a tautology that restates the tool name without adding any verb+resource specificity. It does not distinguish from siblings like knowledge_confirm or knowledge_reject, and gives no clue about what 'generate' means in this context.

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

Usage Guidelines1/5

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

There is absolutely no guidance on when to use this tool versus any of the dozens of siblings. No context, no exclusions, no mention of alternatives. An agent has no way to decide whether to call this tool.

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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