add_grist_records_safe

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

No annotations are provided, so the description carries full burden. It transparently discloses that the tool validates table and column existence before inserting and suggests corrections. It also outlines the return dict structure (status, message, suggestions, created IDs). This is thorough for a mutation 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?

The description is well-structured with sections for prerequisites and workflow, but it is slightly verbose. Each sentence adds value, though some repetition exists (e.g., repeating parameter names in Args after being mentioned earlier). Overall, it's clear and digestible.

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 that an output schema exists, the description need not detail return values, but it does so anyway. It covers purpose, prerequisites, workflow, and error handling (corrections). The addition of a suggested workflow makes it complete for a moderately complex tool.

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 description's 'Args' section merely lists parameter names without adding meaning beyond the input schema. Schema coverage is 0%, so the description should compensate, but it provides no details on parameter formats, constraints, or examples. This is a significant gap.

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 states the tool's main action (adding records) and its distinguishing feature: prior structure validation. It specifies the verb 'Ajoute' and the resource 'enregistrements', and differentiates from the sibling 'add_grist_records' by the 'safe' validation behavior.

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 provides a typical workflow (get_table_schema, then this tool, then list_records) and notes that internal calls to list_tables and list_columns are automated. However, it does not explicitly state when not to use this tool or contrast it with alternatives like 'add_grist_records'. It implies usage but lacks exclusions.

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