update_account
Set the name or company on the account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| company | No |
Set the name or company on the account.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| company | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It does not say whether this is a partial update, whether omitting a field preserves or clears it, what permissions are needed, or whether the change is reversible. For a mutation tool with zero annotation coverage this is a real gap.
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?
A single short sentence with no filler and the resource front-loaded. Efficient, though terse enough that it underspecifies rather than over-explains.
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 an unannotated mutation tool with no output schema and no parameter descriptions, the description is too thin. It omits update semantics, permissions, and any return behavior, leaving the agent guessing about a write operation.
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% and the schema supplies only types, so the description is the only source of meaning. It does name both parameters ('name', 'company'), which maps them usefully, but adds nothing about format, length, or how the two interact.
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 ('Set') and resource ('the account') and names the two fields it touches (name, company). It is clear on its own, though it does not differentiate itself from siblings like get_account beyond the obvious read/write split.
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 versus alternatives such as get_account, nor any prerequisites, ordering, or exclusions. The agent must infer usage entirely from the verb.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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