run_attribution_now

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

No annotations provided, and description omits behavioral details such as whether the operation is idempotent, how long it takes, or if it overwrites existing attributions. This is a significant gap for a data-modifying tool.

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?

Description is very concise with two paragraphs, an Args section, and examples, all front-loaded with the main purpose. No extraneous text.

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?

Given the tool's simplicity (2 optional params, no output schema), the description covers purpose, prerequisites, parameters, and examples. Could optionally mention return values or how to view results, but overall complete.

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 has no descriptions (0% coverage), but the description compensates by explaining each parameter's meaning (ISO date) and defaults (30 days ago and today), adding value beyond the schema.

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?

Description clearly states the tool fetches tagged cost data from AWS/Azure/GCP and stores team attributions, distinguishing it from sibling tools that only retrieve cost data or perform audits.

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?

Specifies a precondition (run after setting up tag_rules.yaml) and provides example phrases, but lacks guidance on when not to use this tool compared to alternatives like get_tag_cost_breakdown_cur.

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