list_ideas
List ideas for a brand. Requires brand_hash.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| brand_hash | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List ideas for a brand. Requires brand_hash.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| brand_hash | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 disclosure burden. It does disclose the required parameter prerequisite, and listing is inherently a safe read, but it says nothing about ordering, pagination behavior, or what happens with the default limit of 50.
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, front-loaded with the action and immediately followed by the prerequisite. Nothing is wasted, though 'Requires brand_hash' partially repeats the schema's required field.
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 two-parameter list tool with an output schema, the description covers the core operation and its prerequisite. It falls short on pagination/limit behavior and on distinguishing itself from the many sibling list/get tools.
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%, so the schema documents names/types only. The description names brand_hash as required (matching the schema) but says nothing about the 'limit' parameter's meaning or default, leaving half the parameters without semantic value.
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?
States a specific verb+resource ('List ideas') and scopes it to a brand, which is enough for an agent to recognize it as the collection counterpart to get_idea. It does not name siblings or explain how it differs from get_idea/list_scripts beyond the obvious verb difference.
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 when-to-use guidance, no mention of alternatives (e.g., get_idea for a single idea, generate_idea for creation), and no context on when a brand-scoped listing is appropriate versus other listing tools. Only the hard prerequisite is stated.
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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