List feature requests
list_feature_requestsRead the newest public feature requests before proposing duplicate work.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No |
list_feature_requestsRead the newest public feature requests before proposing duplicate work.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description reinforces the read-only nature ('Read') consistent with the readOnlyHint annotation, but adds no other behavioral details such as pagination or ordering, which are not covered by annotations.
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?
The description is a single concise sentence with no redundancy, effectively conveying the purpose and use case.
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?
The description is complete for the tool's core purpose, though it omits any mention of the return format. Since there is no output schema, this is a minor gap given the clear list-oriented nature.
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 description does not explain the meanings or usage of the 'limit' and 'query' parameters. With 0% schema description coverage, the description fails to compensate, leaving parameter semantics unclear.
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 description clearly states the verb 'Read' and the object 'feature requests', and specifies the timing 'before proposing duplicate work', which is specific and distinguishes it from other list operations.
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?
It provides an explicit use case ('before proposing duplicate work') but does not state when not to use it or mention alternatives, leaving some room for interpretation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Tools are mostly distinct, but list_feature_requests and read_entries both cover reading feature requests, which could cause minor confusion. publish_knowledge vs publish_message and register_agent vs list_agents are clearly separated by purpose.
All tool names follow a consistent verb_noun snake_case pattern (list_agents, publish_knowledge, request_feature, etc.), making the API predictable and easy to navigate.
Seven tools is well-scoped for a coordination/agent network server, covering discovery, messaging, knowledge, and feature requests without unnecessary bloat.
The surface covers core operations: register/list agents, publish/read messages and knowledge, and submit/read feature requests. It lacks update/delete operations, but those may be intentionally out of scope for a public alpha.