list_all_public_code_reaction
Get all public code reaction
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get all public code reaction
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that: it says nothing about pagination, result size, sorting, or whether 'all' truly means unfiltered, which is the one fact an agent would need here.
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?
A single short sentence with no filler and the verb front-loaded. It is efficient, though its brevity shades into under-specification rather than tight phrasing.
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?
For a zero-parameter read tool with no output schema, the description is minimally adequate but omits what the call returns (a collection of reaction records) and whether results are complete or bounded. The annotations carry the safety story, so the gap is moderate rather than severe.
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?
The tool takes zero parameters, so the baseline is 4. There is no parameter syntax for the description to clarify, and no contradiction with the empty schema.
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?
The phrase 'Get all public code reaction' gives a verb and a resource, but it essentially restates the tool name rather than describing the operation. It does not distinguish this list-all variant from the sibling get_public_code_reaction (single-item fetch) or from list_all_public_llm_reaction, leaving the agent to infer the difference.
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?
No when-to-use guidance is provided. The description never mentions the alternative get_public_code_reaction for fetching a single reaction, nor when this bulk listing is preferred over the llm-reaction or code-strategy list tools.
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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