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Stream MCP by usefulapi

Send a reaction (WRITE — posts to Stream)

stream_send_reaction
Destructive

⚠️ WRITE: add a reaction (e.g. "like", "love") to a message, attributed to user_id (must be an existing user). POST /api/v2/chat/messages/{id}/reaction.

Input Schema

NameRequiredDescriptionDefault
idYesMessage id to react to.
user_idYesExisting user id to react as.
reaction_typeYesReaction type, e.g. "like", "love", "haha".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the annotations, the description discloses the write semantics, the exact endpoint (POST /api/v2/chat/messages/{id}/reaction), and the constraint that the acting user must already exist. It does not mention idempotency, duplicate-reaction handling, or required permissions, but for an additive write with destructiveHint already declared, this is solid added 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?

A single tightly packed sentence that front-loads the WRITE warning, then the action, then the precondition, then the endpoint. Every clause carries information; nothing is padding.

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 simple three-parameter write with no output schema, the description covers action, target, actor constraint, and transport endpoint. Only failure modes (duplicate reaction, invalid message id, permission errors) are unaddressed, which is a minor gap at this complexity.

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 three parameters (id, reaction_type, user_id) are already documented in the schema with examples and constraints. The description restates examples and the existing-user rule rather than adding new semantics, 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+resource: adding a reaction to a message, attributed to a user. That is clearly separable from stream_get_reactions (read) and stream_send_message (message post), although no sibling is named explicitly, so differentiation is implicit rather than stated.

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 precondition (user_id must be an existing user) and flags the call as a WRITE, which is useful for correct invocation. It never says when to prefer a different tool or when not to call it (e.g. reacting vs fetching reactions), leaving usage implied.

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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