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bluemot
by bluemot

configure

Set workspace path and LLM endpoint for config-aware code graph analysis with conditional compilation support.

Instructions

Configure workspace and LLM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
llm_endpointNo
workspace_pathNo
small_llm_modelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only says 'Configure workspace and LLM' without indicating whether this modifies state, requires permissions, or has side effects. Insufficient for a configure operation.

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

Conciseness3/5

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

Extremely concise (3 words), but lacks substance. It is not bloated, but the brevity sacrifices clarity.

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?

Despite having an output schema, the description provides no context about the tool's effect (e.g., persistent config vs temporary) or expected usage. Incomplete for a configuration tool with no annotations.

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?

Schema description coverage is 0%, and the description adds no explanation of the three parameters (llm_endpoint, workspace_path, small_llm_model). An agent cannot infer parameter details from the description alone.

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?

Description states verb 'Configure' and resources 'workspace' and 'LLM', clearly identifying the tool's purpose. It distinguishes from siblings that have specific operations like preprocess_config or query_graph, but does not explicitly differentiate.

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 on when to use this tool versus alternatives like preprocess_config. No context on prerequisites or typical usage flow.

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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