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propose_knowledge

Submit a knowledge proposal documenting project design decisions, schema changes, or API specifications. The proposal is validated and compiled into the Project Brain.

Instructions

Submits a Knowledge Proposal containing newly discovered or updated project design, decisions, schema changes, or API specifications. The proposal enters a validation queue before being compiled into the Project Brain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
summaryYesA concise summary explaining what was decided, changed, or discovered.
decisionsNoA list of concrete engineering decisions made.
db_changesNoDetails of any database schema or table changes made.
tests_passedNoWhether all local tests passed successfully.
apis_affectedNoDetails of any API changes made (e.g., endpoints, methods).
files_modifiedNoA list of file paths that were modified.
Behavior3/5

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

No annotations exist, so the description carries full burden. It discloses that the proposal enters a validation queue before being compiled, indicating a delay. However, it omits details about idempotency, permissions, or error handling, leaving gaps.

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 two sentences, front-loaded with the action and resource, and contains no redundant or extraneous information.

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 the tool has 6 parameters (1 required), no output schema, and moderate complexity, the description adequately covers the submission process and queueing. It could optionally mention what the agent might expect as a response (e.g., confirmation or ID).

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?

Schema description coverage is 100%, with each parameter having a schema description. The tool description does not add additional meaning beyond what the schema provides, so baseline 3 is appropriate.

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 verb 'submits' and the resource 'Knowledge Proposal', listing specific content types. It distinguishes from sibling tools (get_context, get_history) which are retrieval-oriented.

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 like get_context or get_history. The description implies usage for submitting knowledge but does not clarify when not to use it or provide context for choosing among siblings.

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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