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recla93

Neural-Stimulus

by recla93

get_context

Search a concept graph for related links and nodes using a topic keyword. Use additional keywords to broaden context.

Instructions

Given a topic or keyword, returns related links and nodes from the graph

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoSearch depth (1-3, default 1)
topicYesMain keyword to search context for
formatNo'full' multi-line (default) or 'compact' single-line for system prompt injection.full
contextNoContext path (e.g. java/spring). Defaults to active context.
keywordsNoAdditional keywords to broaden the context search
max_tokensNoMax output size in approx tokens (default 400, use 150 for compact injection).
Behavior1/5

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

With no annotations, the description must fully disclose behavioral traits. It only states the output (links and nodes) but omits whether the tool is read-only, has side effects, requires authentication, or has rate limits. The agent has no insight into safety or constraints.

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 a single compact sentence with no fluff. It is front-loaded with the core action. However, it could benefit from a slightly fuller explanation without sacrificing conciseness.

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 6 parameters, no output schema, and no annotations, the description is insufficient. It does not explain what 'graph' refers to, the meaning of links/nodes, how depth or format affect output, or what to expect from the result. The agent lacks context to use effectively.

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 coverage is 100%, so all parameters are described in the schema. The description adds minimal value beyond repeating 'topic or keyword', which is already covered. Baseline 3 is appropriate as schema does the heavy lifting.

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 tool returns 'related links and nodes from the graph' given a topic, using a specific verb and resource. However, it does not differentiate from sibling tools like 'vector_search' or 'extract', which might also return related items.

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. There is no mention of prerequisites, when not to use, or context that would help an agent choose this tool over 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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