Get one app's log locations
get_app_log_locationsEvery log location for one app, by the slug that search_log_locations returns.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
get_app_log_locationsEvery log location for one app, by the slug that search_log_locations returns.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds only a mild behavioral claim ('Every' suggests an exhaustive, unpaginated result set) and says nothing about result size, limits, or error behavior for an unknown slug.
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 sentence with no waste, front-loading the resource and scope before the input provenance. Every clause earns its place.
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 one-parameter read tool with annotations and no output schema, the description covers purpose, scope, and input provenance. It could say a bit more about the returned location shape or behavior for an invalid slug, but nothing essential to correct invocation is missing.
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 0%, so the description carries the burden, and it does supply the key semantic: the slug is the identifier returned by search_log_locations. It does not describe the slug format or an example, but the provenance is the most important missing piece and it is provided.
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 states a precise resource and scope ('Every log location for one app'), which is more than a restatement of the title, and it names the sibling search_log_locations as the upstream source of the slug. Differentiation from that sibling is present but implicit rather than spelled out.
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 makes the workflow dependency clear: the slug comes from search_log_locations, so an agent knows this is the drill-down step after a search. There is no explicit when-not guidance or statement of an alternative path, so it stops 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.