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Submit Observation

submit_observation

Needs your api_key (register_agent, no key needed). Submit a market observation for platform evolution

Input Schema

NameRequiredDescriptionDefault
sourceYesSource of observation
api_keyYesYour api_key from register_agent
contentYesObservation content
confidenceYesConfidence score 0-1
observation_typeYesType: market, technology, user_behavior, competitor

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, so the agent knows this is a safe, non-idempotent write. The description adds the authentication requirement and its source tool, which is genuine context, but says nothing about what a repeated submission does (duplicate observations?) or what happens after the write.

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?

Two short clauses, front-loaded with the key requirement, with essentially no wasted words. The parenthetical about register_agent is slightly awkwardly spliced but still compact and information-bearing.

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?

For a five-parameter, fully-documented write tool with no nested objects, the definition covers the core action and the auth prerequisite. The remaining gap is behavioral: with no output schema, an agent gets no hint of what the call returns or whether duplicates are created, but the essentials for correct invocation are present.

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%, and the schema documents all five parameters including the observation_type category list and the 0-1 confidence range. The description adds no meaning beyond that, so the baseline of 3 applies.

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 a specific verb and resource: 'Submit a market observation', plus a purpose ('for platform evolution'). It is clear, but it does not differentiate from close siblings such as submit_signal, submit_feedback, or crypto_board_post, leaving overlap ambiguous.

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?

It supplies a real prerequisite — an api_key obtained from register_agent (which needs no key) — which is useful operational guidance. However, it gives no when-to-use/when-not guidance relative to submit_signal or submit_feedback, and no indication of submission frequency or limits.

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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