query_logs

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

With no annotations, the description carries the full burden, and it does disclose result ordering ("newest first") and project scoping, which the schema does not state. It says nothing about pagination mechanics, default/max result sizes, permissions, or rate limits — several of which appear only in parameter descriptions — so the behavioral picture is partial.

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?

Three short sentences, front-loaded with the core action and ordering. The third sentence ("Call this when you need the actual log lines") largely restates the second, so there is minor redundancy but nothing padded or buried.

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?

There is no output schema, so the description should convey what comes back; it says only "log entries" and their ordering, without mentioning fields, structure, or how to page through results. For a 7-parameter read tool with no annotations, the definition is adequate but leaves the agent guessing at the response shape and pagination workflow.

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 100%, so every parameter including the required project_id and the before_iso pagination cursor is documented in the schema. The description adds no filtering semantics, combination rules, or format details beyond that, which is the expected baseline when the schema does the heavy lifting.

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?

States a specific verb and resource ("Fetch matching log entries for this project") plus an ordering guarantee ("newest first"). The phrase "actual log lines" implicitly contrasts with aggregate_logs/aggregate-style siblings, but it never names them, so the differentiation is suggested rather than explicit.

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?

"Use to inspect specific errors or recent activity" and "when you need the actual log lines" give an implied when-to-use signal, and the emphasis on raw lines hints that aggregation tools are for other cases. However, no sibling is named and there is no explicit exclusion or alternative routing, leaving the agent to infer query_logs vs aggregate_logs vs query_logs_batched vs semantic_search.

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