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get_function_run_logs

Retrieve logs for a specific durable function run using project and run IDs, with options to limit entries or filter by timestamp.

Instructions

Fetch logs correlated to one durable function run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tailNoNumber of log entries to return (default 50, max 1000).
sinceNoOnly include logs at or after this ISO timestamp or epoch ms.
run_idYesFunction run id, fnrun_...
project_idYesThe project ID
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states it fetches logs but does not disclose any behavioral traits like read-only nature, rate limits, pagination, or what happens if no logs exist.

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, efficient sentence. It is front-loaded and has no fluff, though it could benefit from a brief mention of context (e.g., requires project_id and run_id).

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?

Given no output schema, the description does not explain return format. Schema covers parameters adequately. For a log-fetching tool, the description is minimally complete but lacks output 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?

Schema coverage is 100%, so the description need not add much. It does not provide additional meaning beyond the schema, but the schema itself fully describes parameters. Baseline 3 is appropriate.

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

Purpose5/5

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

The description uses a specific verb 'Fetch' and resource 'logs correlated to one durable function run', clearly distinguishing it from sibling tools like 'get_function_logs' which might return all logs, and 'list_function_runs' which lists runs.

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

Usage Guidelines3/5

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

The description implies that this tool is for logs of a specific run, but does not explicitly state when to use it over alternatives such as 'get_function_logs' or 'get_function_run'. No guidance on context or exclusions.

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

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