filings
Latest SEC filings for an equity symbol
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | ||
| symbol | Yes |
Latest SEC filings for an equity symbol
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | ||
| symbol | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. It states only the basic promise of returning latest SEC filings, but does not disclose details like what types of filings are included, how many are returned, or the output format. This lack of behavioral context is a notable 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?
The description is a single front-loaded sentence that accurately conveys the core purpose without any filler. Every word contributes meaning, making it highly concise and efficient.
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?
The tool is simple and has no output schema, so the description does not need to explain return values. However, it omits important context such as how 'n' affects results and the specific nature of the filings, leaving some ambiguity for the agent.
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% for the 2 parameters. The description indirectly explains 'symbol' via 'equity symbol' but makes no mention of 'n', leaving its meaning and impact unexplained. The description does not compensate for the schema's silence.
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 clearly identifies the tool's function: returning the latest SEC filings for an equity symbol. It distinguishes itself from siblings like earnings, calendar, and history by focusing specifically on SEC filings, though it lacks an explicit verb.
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?
The intended use is implied by the description—use when you need the latest SEC filings for a stock. No explicit guidance is provided about when to prefer this over alternatives, such as earnings or history, nor are there exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.