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codelogic-graph-owners

Find owners and reviewers for a specific graph node by providing its ID or identity prefix. Identify responsible team members for code or data architecture components.

Instructions

Look up owners/reviewers for a graph node (curated HTTP API). Provide node_id or identity_prefix.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idNo
scan_spaceNo
identity_prefixNo
materialized_view_idNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'curated HTTP API' but does not disclose read-only behavior, error conditions, rate limits, or side effects. The behavioral profile is largely opaque.

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 extremely concise (two sentences) and front-loaded with the core purpose. Every sentence adds value without repetition.

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?

The tool has 4 parameters and no output schema, yet the description does not explain return values or the role of unspecified parameters. It is insufficient for fully informed usage.

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

Parameters2/5

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

Schema coverage is 0%, so description must compensate. It only explains node_id and identity_prefix, ignoring scan_space and materialized_view_id. Users are left guessing about these parameters.

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 (look up owners/reviewers) and resource (graph node), distinguishing it from sibling tools that focus on impact, search, or capabilities. However, 'graph node' could be more precisely defined.

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 hints at parameter usage ('Provide node_id or identity_prefix') but does not specify when to use this tool versus siblings like codelogic-graph-search or codelogic-graph-impact. No exclusions or context are provided.

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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