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

With no annotations, the description carries the full burden, and it delivers: it discloses exact row contents, quoting behavior, date tracking, what happens when no list exists, and even legal/re-use restrictions. This is unusually transparent behavioral and policy context for an AI agent.

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 well-structured and front-loaded with the core content, but it repeats the 'every row' point twice and spends substantial space on legal restrictions. Most of that is useful, but the redundancy makes it less crisp than it could be.

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?

For a simple one-parameter read tool with no output schema, the description is complete: it explains the data returned, source attribution, empty-list behavior, and usage permissions. An agent has enough information to select and invoke the tool correctly.

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 coverage is 100%: the company parameter is already documented with domain-or-name guidance and a one-company-per-call restriction. The description reinforces that only one company is handled but adds no new parameter-level meaning beyond what the schema provides.

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 resource (one company's published subprocessor list) and what the record contains, including row-level details and the no-list case. It stops short of a crisp verb like 'returns' or 'lists,' and does not explicitly distinguish itself from sibling tools.

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?

There is no guidance on when to use this tool versus siblings such as changes, in_chain, or as_of. The description implies this is the tool for retrieving a single company's stored list, but it never states that or offers exclusions or alternatives.

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