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Valuein — SEC EDGAR Fundamentals & Smart-Money Data

Delete Claim

delete_claim
DestructiveIdempotent

Soft-delete a claim by id. The row and its score history are preserved for audit (archived, not erased); the claim drops out of default list_claims results. Idempotent — deleting an already-archived claim succeeds.

Tier: all paid + free tiers (sample rejected).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claim_idYesId of the claim to archive.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_metaYesProvenance envelope — data lineage for every MCP response
archivedYes
claim_idYes

TDQS

A4.5/5.0
Behavior5/5

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

Beyond annotations (destructiveHint: true, idempotentHint: true), the description reveals key traits: soft-delete (archival, not erasure), preservation of score history for audit, and idempotency. These details add significant value beyond the structured fields.

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

Conciseness5/5

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

The description is extremely concise: two sentences and a tier note. Every sentence provides essential information without redundancy. It is front-loaded with the primary purpose.

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?

Given the simple parameter set, high annotation coverage, and presence of an output schema, the description fully covers purpose, behavioral traits, idempotency, and tier restrictions. No gaps are apparent.

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?

The input schema has 100% coverage with a clear description for 'claim_id' ('Id of the claim to archive.'). The description does not add additional parameter semantics beyond the schema, but given full schema coverage, a score of 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?

The description clearly states 'Soft-delete a claim by id', specifying the verb and resource. It distinguishes from sibling delete tools (e.g., delete_alert) by specifying claim. The explanation of archival behavior further clarifies the scope.

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?

The description mentions idempotency and tier restrictions ('all paid + free tiers (sample rejected)'). While it doesn't explicitly state when not to use this tool vs alternatives, the context of sibling tools makes the purpose clear. Some guidance on when to use other delete tools would be beneficial, but the current info is adequate.

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.