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hokmah_analyze

Analyze impact of a code change. Returns risk score, affected files, related commits. FREE — zero LLM tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
branchNomain
repo_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It mentions the outputs and zero LLM token cost, but does not disclose safety (e.g., read-only nature), side effects, authorization needs, or rate limits. For a tool that likely performs analysis, this is insufficient.

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 very concise with two sentences front-loading the purpose and output. Every sentence is useful, though it could be slightly more structured. It earns a high score for minimal waste.

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?

Given the complexity (3 params, no schema descriptions, no annotations) and presence of an output schema, the description is incomplete. It covers only the output but not parameter semantics or behavioral context, making it inadequate for correct tool selection and invocation.

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%. The description does not explain the meaning or format of any of the three parameters (repo_url, query, branch). The schema provides names and types, but the description adds no value beyond that, leaving the agent without essential semantic context.

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 'analyze' and the resource 'impact of a code change', and specifies the outputs (risk score, affected files, related commits). It effectively distinguishes from sibling tools that focus on connecting projects or generating code.

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

Usage Guidelines3/5

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

The description implies usage for analyzing code change impact by stating what it does and highlights 'FREE — zero LLM tokens' as a benefit. However, it lacks explicit guidance on when to use or not use this tool versus alternatives, which is a gap.

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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TDQS

B3.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: analyzing impact, connecting external MCP, connecting project, generating code, and generating tests. No two tools overlap in function, and descriptions clarify the differences.

Naming Consistency5/5

All tools follow the consistent pattern 'hokmah_verb_noun' with snake_case. Verbs are descriptive and imperative, and the prefix is uniform, making the naming predictable.

Tool Count5/5

With 5 tools, the server is well-scoped. It covers analysis, connections, and generation without being bloated or insufficient for its apparent purpose.

Completeness4/5

The tool set covers core workflows: analysis, project setup, code and test generation. Missing features like graph querying or connection management are minor gaps, but the surface is largely complete for the domain.