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jakedx6

Helios-9 MCP Server

by jakedx6

find_related_content

Retrieve related projects, tasks, or documents based on entity type and ID, with filters for similar, dependent, linked, or recent relationships.

Instructions

Find content related to a specific entity (project, task, or document)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_typeYesType of entity to find related content for
entity_idYesID of the entity
relation_typesNoTypes of relationships to find
max_resultsNoMaximum number of related items to return
Behavior2/5

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

No annotations are present, and the description is minimal. It does not disclose important behavioral traits such as read-only status, side effects, authentication needs, or output format.

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, front-loaded sentence that efficiently conveys the tool's purpose. It is concise and easy to parse.

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 lack of annotations and output schema, the description is too terse. It does not explain the return format, pagination, or any other contextual details needed by an AI agent.

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 input schema has 100% coverage for parameters, so the baseline is 3. The description does not add additional meaning beyond what the schema already provides, but it is adequate.

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 verb 'Find' and resource 'content related to a specific entity', and lists the entity types. However, it does not explicitly distinguish itself from sibling tools like 'semantic_search' or 'universal_search'.

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. The description lacks context for selecting this tool over siblings that also find content.

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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