Sigma Configure Org Ai

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

Beyond the annotations, the description explicitly discloses that the operation mutates state and requires confirmation, which are important behavioral details an agent needs before calling. It does not contradict the annotations; in fact, it expands on the readOnlyHint=false signal with a concrete prerequisite.

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?

The description is only three short sentences and every sentence adds value: the purpose, the mutating behavior with confirmation, and a concrete parameter hint. It is front-loaded and free of filler.

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?

The output schema covers return values, and the confirm requirement is stated, but the provider_config object is open-ended with additionalProperties=true and no schema description. The description should explain more of the expected object structure, especially since the tool configures both providers and models yet only provider names are mentioned.

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 0%, so the description carries the burden for parameter meaning. It adds that provider_config is a specification dict and lists valid provider names, which is useful. However, it leaves the full structure of the provider config ambiguous, does not explain how models are specified, and only implies confirm semantics by saying confirm=True is required.

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 clearly names the operation as configuring the organization's AI provider and models, with a specific verb and resource. It is distinct from the report/workbook-focused siblings, but it does not explicitly contrast itself with nearby org-settings or agent tools like sigma_update_org_setting, so it falls just short of a 5.

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?

The description gives concrete invocation guidance by stating this is a mutating operation and that confirm=True is required. It provides clear context for using the tool, but it does not name alternative tools or conditions for when not to use it, so it lacks explicit exclusions.

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