get_listing_readme
README collected for a listing (R2). 404 when none was stored.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Listing ID, from `Anuncio.id`. |
README collected for a listing (R2). 404 when none was stored.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Listing ID, from `Anuncio.id`. |
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?
With no annotations, the description carries the burden of behavioral disclosure. It openly states a 404 is returned when no README was stored, which is useful, but it does not mention whether the operation is read-only, any authentication requirements, or what the response payload looks like.
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 short and front-loads the core resource before stating the not-found behavior. It contains no fluff, though the unexplained parenthetical 'R2' is slightly cryptic and could be clearer.
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 low-complexity single-parameter tool, the description covers what is retrieved and one key error condition. However, because there is no output schema, it would benefit from stating the response format or content type, and it could more explicitly connect to listing IDs and sibling tools.
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 coverage is 100%, and the id parameter is already documented as the listing ID from Anuncio.id. The description adds no additional parameter-level meaning, so the baseline of 3 applies.
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 name and description together make clear this tool returns the README associated with a listing. The resource is specific (listing README) and the 404 behavior adds helpful scoping, though the sentence is a noun phrase rather than an explicit action verb and does not contrast with sibling tools.
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 gives no guidance on when to use this tool versus alternatives such as get_listing or list_listings. It implies the README retrieval use case but does not state prerequisites, exclusions, or a preferred sibling when listing details are needed.
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, but list_listings and list_mcp_servers overlap since both return listings, with the latter being a filtered subset. This minor ambiguity could cause occasional misselection.
The majority of tools follow verb_noun snake_case (create_listing, get_listing, like_listing), but several are bare nouns (billing, contact, health) or compound nouns (api_index), breaking the consistent pattern and reducing predictability.
12 tools is well-scoped for a registry server covering listings, comments, likes, billing, and health. Each tool has a clear purpose and the count feels neither thin nor bloated.
The listing lifecycle is incomplete: create, get, like, and list exist, but there is no update or delete for listings. Additionally, only list_comments is available—no create, edit, or delete for comments—creating notable workflow gaps.