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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose one genuinely important trait — that graph and task_variables overwrite the stored value wholesale rather than merging — but says nothing about permission requirements, reversibility, validation failures, or the security-sensitive side effect of regenerate_trigger_token, which a caller would badly want flagged.

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?

Two short sentences, zero filler, with the mutation verb front-loaded and the destructive nuance immediately following. Nothing could be removed without losing information.

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 10-parameter mutation tool with no annotations and no output schema, the description is too thin: it documents 2 of 10 inputs and omits the token-regeneration side effect, scheduling semantics, and any statement of what a successful call returns or changes.

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% across 10 parameters, so the description must compensate, and it only partially does: it explains the replace semantics for graph and task_variables, the two highest-risk inputs. The remaining parameters — run_at vs. clear_run_at, cron_expr, enabled, inbound_trigger_only, regenerate_trigger_token — receive no explanation beyond their names, leaving the caller to guess at interactions such as which scheduling field wins.

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 states a specific verb and resource ("Update fields of a workflow"), which is clearly a mutation of an existing workflow and distinguishable from workflow_create/delete by name alone. It does not, however, differentiate itself from adjacent siblings like workflow_run or schedule_update, nor say what kind of fields (scheduling vs. graph) are in scope.

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 explicit when-to-use guidance, no prerequisites, and no named alternatives. The only usage-adjacent information is the implied partial-update contract (unspecified fields are left alone), which a caller must infer rather than being told.

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