feedback_flow
Return the authenticated Protocol 5 platform/game feedback and author-response flow.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target_type | No |
Return the authenticated Protocol 5 platform/game feedback and author-response flow.
| Name | Required | Description | Default |
|---|---|---|---|
| target_type | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the full behavioral burden. It hints at one trait — the resource is 'authenticated', implying auth is required — and the verb 'Return' implies a read. Beyond that it says nothing about pagination, output shape, whether the flow mutates, or what 'author-response flow' state actually contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, zero filler, with the resource named up front. It is not bloated — if anything it is under-specified rather than over-long, so structure is fine while completeness suffers separately.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and 0% parameter coverage, this one-liner is insufficient for a tool whose entire value is returning a named artifact. An agent cannot tell what a 'feedback and author-response flow' returns or how to scope it via target_type.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for the single optional enum parameter, so the description must compensate and largely does not. It mentions 'platform/game' in prose but never names target_type, never explains the two enum values' meaning, and never states that omitting it is allowed or what the default behavior is.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Return) and a specific resource (authenticated Protocol 5 platform/game feedback and author-response flow). This is meaningfully more concrete than the many sibling '*_flow' tools, though the term 'flow' itself is unexplained jargon. No explicit sibling contrast, but the 'feedback and author-response' qualifier is distinctive enough to disambiguate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description only asserts what the tool returns; it gives no when-to-use context, no prerequisites, and no alternatives among the ~45 siblings (e.g., traffic_status, game_details, author_status). An agent must infer entirely when this is the right call.
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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