List market trends
list_trendsThe market trends EquiReason is following, with how many companies' filings describe each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_trendsThe market trends EquiReason is following, with how many companies' filings describe each.
| 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, non-destructive and closed-world, so the safety profile is covered. The description adds genuine value by disclosing the shape of the payload (trend plus number of companies' filings describing it), but says nothing about ordering, pagination, or whether the list is exhaustive.
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 dense sentence with no filler, and the resource identity is front-loaded ahead of the return-value detail. Every clause carries 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 no-argument, read-only listing with full annotation coverage and no output schema, the description supplies what is actually needed: what the entries are and what they contain. Remaining gaps (ordering, exhaustiveness) are minor for this complexity level.
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 no parameters, so there is nothing for the description to disambiguate; the schema is trivially complete. Baseline of 4 applies for a zero-parameter tool.
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 names a specific resource (market trends EquiReason is following) and states exactly what each entry contains: a company-filing count per trend. It implicitly reads as a listing operation, but it never contrasts with the sibling get_trend, so an agent must infer that this returns the whole set while get_trend fetches one.
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?
Usage is only implied: 'the trends EquiReason is following' suggests a discovery/overview call, but there is no explicit statement of when to use this versus get_trend or the other list_* tools. No prerequisites or exclusions are given, so the agent must reason about routing on its own.
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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