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Velarion Company Intelligence

Disclosed peer group (free)

get_disclosed_peer_group
Read-onlyIdempotent

Free plan: the company's own disclosed compensation peer group, most recent fiscal year on file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesThe company's ticker symbol (e.g. "AAPL").
agent_tokenNoOptional Velarion agent token; falls back to the X-Velarion-Agent-Token header.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
holdNo
errorNo
labelNo
peersNo
queryNo
ratioNo
reasonNo
statusNo
tickerNo
resultsNo
citationNo
industryNo
directorsNo
truncatedNo
data_as_ofNo
executivesNo
attributionYes
fiscal_yearNo
company_nameNo
company_pageNo
fee_scheduleNo
ceo_total_compNo
unpaid_directorsNo
say_on_pay_exemptNo
median_employee_compNo
fiscal_years_availableNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds mild context by noting the data reflects the most recent fiscal year on file, but it does not disclose behavior beyond that, such as response shape or data-source caveats.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence that front-loads the 'Free plan' context and immediately defines the returned data. It is efficient and contains no filler, though it is a noun phrase rather than a complete imperative sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple read-only lookup with a high-coverage schema and an output schema, so the description conveys enough to understand the tool's core purpose. It could be more complete by addressing when the free-plan data might differ from paid alternatives or by naming sibling tools, but nothing critical is missing for basic invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the ticker and agent_token parameters are already well documented. The description does not add any parameter-level meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific resource: the company's disclosed compensation peer group for the most recent fiscal year. It is clear that this tool returns peer-group data for a single company, but it does not explicitly differentiate itself from siblings like compare_companies or get_company_compensation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance is given about when to use this tool instead of alternatives. The 'Free plan' prefix hints at plan constraints, but it does not tell the agent when this endpoint is preferable over sibling compensation tools.

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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