procurement_spend_analysis

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

No annotations are present, so the description carries the full burden of disclosing behavioral traits. It mentions routing under JWT/tenant/company scope, which is a helpful context, but fails to indicate whether the tool is read-only or mutating, what side effects occur, or any security implications. For a procurement action, such transparency is critical.

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 concise at four lines for the main body and two lines for arguments, using a clear bullet structure. No redundant phrases. However, it could be slightly more informative without sacrificing conciseness, e.g., by briefly explaining the action's outcome.

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?

Despite an output schema being present, the description does not explain the context or objective of spend_analysis, leaving the agent to guess what a valid 'message' or 'inputs' should contain. For a tool with optional parameters and no guidance, this is insufficient for correct invocation.

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?

The input schema has 0% description coverage, so the description must compensate. It adds basic semantics: 'message' is a free-text objective and 'inputs' is an optional JSON string. This goes beyond the bare schema but remains vague—no examples or constraints are given for the objective or expected JSON structure. It is adequate but not rich.

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 identifies the tool as running the procurement domain agent action 'spend_analysis'. It specifies the routing mechanism (domain-agent dispatcher) and distinguishes it from sibling tools like procurement_chat or commerce_spend_analysis by focusing on a specific action. However, it does not explain what 'spend analysis' entails, leaving the agent to infer its purpose from the name alone.

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?

No usage guidance is provided. The description does not state when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. An agent would have no context to decide whether this action is appropriate compared to similar procurement or commerce tools listed as siblings.

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