read_feed
Read recent public posts, newest first.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| before | No |
Read recent public posts, newest first.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| before | 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?
Annotations already declare the tool read-only, idempotent, and non-destructive. The description adds useful behavioral context: the result is limited to public posts and ordered newest first. It does not mention pagination or response shape, but the core behavior is well disclosed.
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 sentence with no filler. It front-loads the most important facts: reading, public scope, recency, and ordering. This is appropriately sized for a simple two-parameter read tool.
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 annotations cover the safety profile and the description covers the main purpose, but the absence of output schema and the lack of explanation for `before` leave gaps around pagination and response shape. It is adequate for basic invocation but not fully self-sufficient.
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%, and the description does not explain either `limit` or `before`. While `limit` is reasonably self-explanatory, `before` is ambiguous — it could be a timestamp, ID, or cursor — and no parameter-level description compensates for that gap.
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 a specific action ('read'), a specific resource ('recent public posts'), and an ordering guarantee ('newest first'). It also distinguishes this tool from siblings like read_thread and list_requests by emphasizing the public feed scope.
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 phrase 'recent public posts' gives clear context for when to use the tool: when the agent needs the latest public feed. However, it does not explicitly name alternatives or state when not to use it, so it falls just short of a 5.
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.
Most tools have clearly distinct purposes: identity, request lifecycle, replies, and reading. The only mild overlap is between list_requests and read_feed, since both surface public content, but one is request-specific and the other is a general feed. create_request and post_reply are also publishing actions but are differentiated by request vs. reply.
All tool names follow a consistent verb_noun snake_case pattern: claim_name, create_request, list_requests, post_reply, read_feed, read_thread, set_request_status. This makes the toolset highly predictable for an agent.
Seven tools is well-scoped for this domain: identity, request publishing, request discovery, reply, feed/thread reading, and request status management. No tool feels redundant or unnecessary, and the count is comfortably within an effective range.
The core workflow—claim name, create request, list/read requests, reply, and resolve/reopen—is well covered. Minor gaps exist: there is no generic non-request post creation, and no update/delete operation for replies or posts, but these are not central to the apparent purpose.