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corpus_build

Construct a thematic corpus from observations filtered by type, tags, or symbol. Enables semantic grouping of code intelligence data.

Instructions

Build a thematic corpus from observations filtered by type / tags / symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesUnique per project.
filter_typeNo
filter_tagsNo
filter_symbolNo
projectNoProject name/path (default: active).
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as side effects (e.g., data creation/overwrite), permission requirements, or what 'build' entails. The tool may modify state, but this is unstated.

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 (13 words) with no wasted information. It is front-loaded with the key action.

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?

With 5 parameters and no output schema or annotations, the description lacks critical context about what a 'corpus' is, what the tool returns, and any constraints. It is insufficient for an agent to fully understand the tool's behavior.

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?

The description summarizes the filter parameters (type, tags, symbol) but does not add detail beyond the schema. Schema coverage is only 40%, and the description fails to compensate with explanations of parameter format or constraints.

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 ('Build a thematic corpus') and specifies the filtering criteria (type, tags, symbol). While it distinguishes from sibling 'corpus_query' implicitly, it does not explicitly contrast 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 guidance is provided on when to use this tool versus alternatives like 'corpus_query'. There is no mention of prerequisites, when-not to use, or context for selection.

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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