List niche analyses
list_niche_analysesStored niche analyses: topic, storefront, schema version and opportunity score with its range.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_niche_analysesStored niche analyses: topic, storefront, schema version and opportunity score with its range.
| 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?
Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by disclosing the actual payload shape (topic, storefront, schema version, opportunity score and its range), which matters since no output schema exists. It does not mention ordering, empty-state behavior, or result volume.
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 front-loaded clause with no filler; every element (resource plus field list) earns its place. It is a noun phrase rather than a sentence, which slightly weakens the framing but costs no words.
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 zero-parameter, read-only list tool with no output schema, the description supplies the return-field inventory that would otherwise be missing. Ordering and empty-result behavior are the only meaningful omissions, and neither is critical for correct invocation.
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 tool takes zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. No parameter-related content is needed or expected here.
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 identifies the resource precisely (stored niche analyses) and enumerates the fields each record carries, so an agent knows this is a retrieval of previously computed analyses rather than a new run. It implicitly separates itself from the sibling run_niche_analysis via the word 'Stored', though it never names that sibling explicitly.
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 statement and no named alternative. An agent must infer from the single word 'Stored' that this lists existing results while run_niche_analysis creates them; that routing decision is left to inference rather than 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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