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Chaos-Intelligence-Inc

@chaosintelligence/mcp

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search_posts

Find Resonate posts about any topic by describing what you need. Uses semantic similarity to match your query with relevant public posts.

Instructions

Search public Resonate posts using semantic similarity. Find posts about any topic by describing what you are looking for.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to search for semantically
limitNoMaximum results (default: 20, max: 50)
min_scoreNoMinimum similarity score 0-1 (default: 0.5)
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the key behavioral trait of semantic similarity (as opposed to keyword search) and restricts scope to 'public' posts. It could mention return format or pagination, but for a simple search tool this is sufficient behavioral context.

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?

Two short sentences, front-loaded with the core purpose, and every word earns its place. There is no redundant or vague filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is a simple search with 3 well-described parameters and no output schema. The description covers what it does and how to use it. It could mention the output type (list of posts) but that is reasonably implied by 'search posts' and the sibling context. A score of 4 is appropriate.

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% – all three parameters (text, limit, min_score) have descriptions. The description adds no additional parameter semantics beyond the schema, so the baseline of 3 applies.

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 tool's purpose with a specific verb ('Search'), resource ('public Resonate posts'), and method ('semantic similarity'). It differentiates from sibling search tools by explicitly naming 'posts' as the target, making it distinct from search_streams, search_thoughts, and search_pages.

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

Usage Guidelines4/5

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

The second sentence provides clear usage context: 'Find posts about any topic by describing what you are looking for.' This explains the intended use case but does not explicitly name alternatives or exclusion criteria. Since the resource is clear, it is nearly as helpful as an explicit alternative statement.

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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