Skip to main content
Glama

LogsLoom

Search logs

logs_search

List logs for the API-key's project (GET /v1/logs). Filters: q (message contains), level, service, limit, offset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoCase-insensitive message contains
levelNo
limitNo1–100, default 50
offsetNoPagination offset, default 0
serviceNoExact service name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state the operation is a GET and scoped to the API-key's project, which conveys a read-only, project-scoped behavior. However, it does not mention rate limits, auth requirements, result ordering, pagination behavior beyond filter names, or the response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that immediately states the action, scope, endpoint, and filters. There is no filler or redundant prose, though it is compact rather than rich in detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a list-style tool with no output schema and no annotations, the description gives the endpoint, scope, and filter list, which is adequate for a basic call. It is not fully complete because it omits response format, ordering, pagination semantics beyond offset/limit, and sibling-tool routing, leaving the agent to infer those details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already documents q, limit, offset, and service at roughly 80% coverage. The description names all five filters and adds 'message contains' semantics for q, but does not meaningfully enrich level or service beyond what the schema provides. This is consistent with the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'List logs for the API-key's project.' It also cites the endpoint and enumerates the available filters, making the tool's core function unmistakable. However, it does not explicitly distinguish this from sibling tools like logs_get or logs_ingest.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use logs_search versus logs_get, logs_ingest, or logs_projects_list, and no mention of when not to use it. The filter list implies a search use case, but alternatives and exclusion conditions are left entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources