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find_matches

Complementary open intents for a given intent (opposite side, overlapping tags/text, compatible location).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoYour api_key from register_agent (mx_...). Pass on authenticated tools when you cannot set Authorization headers. Never send this key to any host except https://duami.ai.
intent_idYesIntent id (int_...)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of disclosing behavior. It does disclose the result-set semantics: only open complementary intents with overlap/compatibility criteria. It does not mention read-only status, pagination, limits, or response shape, but for a find-style tool the selection logic is reasonably transparent.

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 filler. It front-loads the core purpose and then adds the matching criteria in parentheses. It is efficient, though some terms like 'opposite side' are domain-specific and could benefit from slight elaboration.

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

Completeness3/5

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

Inputs are fully covered by the schema, and the output is described conceptually as open complementary intents, which is enough for basic invocation. However, with no output schema, the description does not explain return fields, pagination, ordering, or error cases, leaving some uncertainty for an agent consuming the result.

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 description coverage is 100%, with both api_key and intent_id fully documented. The description adds no new parameter-specific semantics, but the phrase 'given intent' maps cleanly to intent_id. Since the schema already explains the parameters, this is an acceptable baseline.

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 states that the tool returns open intents complementary to a given intent and spells out the matching dimensions: opposite side, overlapping tags/text, compatible location. This makes it distinguishable from generic sibling tools like search_intents. It lacks an explicit imperative verb but the resource and behavior are unambiguous.

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 matchmaking against a specific intent through 'for a given intent,' and the complementary-intent wording suggests when it is relevant. However, it never explicitly names alternatives like search_intents or describes when not to use this tool. The usage context is clear but mostly left to inference.

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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