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Valuein — SEC EDGAR Fundamentals & Smart-Money Data

Get Agent Run

get_agent_run
Read-onlyIdempotent

Fetch full detail for one of the caller's own standing-agent runs by id (from list_agent_runs) — status, goal, tickers, cost, artifact ids, role breakdown, and any error. A run may have been triggered by this same agent or by the customer's own Workspace; this tool works either way. Returns found: false (not an error) for an unknown id OR an id belonging to another customer — there is no distinguishing signal, by design. Tier: sp500+ (sample rejected).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYesRun identifier, from list_agent_runs.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
runNo
_metaYesProvenance envelope — data lineage for every MCP response
foundYes

TDQS

A4.4/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint, idempotentHint, destructiveHint), description adds that unknown ids and others' ids both return found:false by design, and lists returned fields (status, goal, tickers, etc.). No contradiction with annotations.

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?

Description is four sentences, well-organized: main purpose first, then details on scope, return info, and design note. Slightly verbose but efficient.

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

Completeness5/5

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

For a simple read tool with one parameter and existing output schema, description covers input source, returned fields, error behavior, and access tier. No significant gaps.

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?

Only one parameter (run_id) with 100% schema coverage. Description in tool repeats schema's description ('from list_agent_runs'). Adds no new constraint beyond schema, so baseline 3 is appropriate.

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

Purpose5/5

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

Clearly states 'Fetch full detail for one of the caller's own standing-agent runs by id', specifying verb (fetch), resource (agent runs), and source of id. Distinguishes from sibling 'list_agent_runs' by focusing on single-run detail.

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

Usage Guidelines4/5

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

Tells agent id comes from list_agent_runs and explains behavior for unknown/inaccessible ids ('returns found: false'). Mentions tier restriction. Doesn't explicitly say when not to use or list alternatives, but context is clear and helpful.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool has a distinct purpose with detailed descriptions that clarify differences. Overlaps like get_peer_comparables vs screen_universe are well-differentiated by scope (single company vs cross-sectional). Similarly, get_insider_sentiment vs get_smart_money_flow are clearly distinguished by data sources and methodology.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., create_report, get_financial_ratios, delete_alert). No mixing of conventions or inconsistent verbs.

Tool Count2/5

With 69 tools, the count far exceeds the 25+ threshold for 'too many'. While the domain is broad, the sheer volume likely overwhelms agents and increases selection complexity.

Completeness4/5

The tool set covers a wide range of SEC filings, ratios, smart-money data, alerts, reports, and more. Minor gaps exist (e.g., no options or detailed debt data), but most analyst workflows are supported.