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Valuein — SEC EDGAR Fundamentals & Smart-Money Data

List Citation Overrides

list_citation_overrides
Read-onlyIdempotent

Author-only newest-first listing of the caller's citation corrections. Filterable by ticker (e.g. all AAPL corrections) or by a single fact_id (returns 0 or 1 row). Pair with save_citation_override and delete_citation_override. Sample tier rejected.

Agent use: call with ticker to introspect what corrections the user has previously applied on that ticker — useful for system prompts that respect prior corrections during regeneration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of citation overrides to return (1–100). Defaults to 20.
cursorNoCursor from the previous response's `next_cursor` — the updated_at of the last row on that page. Omit for first page.
tickerNoOptional ticker filter, case-insensitive. Uppercased internally.
fact_idNoOptional fact_id filter — returns at most one row.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_metaYesProvenance envelope — data lineage for every MCP response
overridesYes
next_cursorYes
total_countYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / _meta / properties / fundamentals_as_of / description
      Previous value: -"ISO timestamp when the FINANCIAL STATEMENTS were last rebuilt. Use THIS — not `last_updated` — when telling a user how current the fundamentals are. The snapshot is republished on every weekday price refresh while the statements are carried forward unchanged, so `last_updated` can be far more recent than the numbers it sits next to."New value: +"ISO timestamp when the FINANCIAL STATEMENTS were last rebuilt in bulk. Use THIS — not `last_updated` — when telling a user how current the cross-sectional fundamentals are. The snapshot is republished on every weekday price refresh while the statements are carried forward unchanged, so `last_updated` can be far more recent than the numbers it sits next to. It is a floor for a single filer, not a ceiling: a filer with a live partition receives its filing, facts and ratios intraday (minutes after EDGAR dissemination), so an entity-scoped read may carry a filing newer than this; cross-sectional ranks (factor scores, earnings signals) refresh with the weekly bulk export."
  2. Changed2 schema fields changed
    • addedOutput schema / properties / _meta / properties / fundamentals_as_of
      Added value: +{
      +  "description": "ISO timestamp when the FINANCIAL STATEMENTS were last rebuilt. Use THIS — not `last_updated` — when telling a user how current the fundamentals are. The snapshot is republished on every weekday price refresh while the statements are carried forward unchanged, so `last_updated` can be far more recent than the numbers it sits next to.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / _meta / properties / price_as_of
      Added value: +{
      +  "description": "ISO timestamp when the price surfaces were last refreshed.",
      +  "type": "string"
      +}
  3. Changed2 schema fields changed
    • addedOutput schema / properties / _meta / properties / cost_usd
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "Per-call cost transparency. Omitted for subscription-only tools that have no PAYG-equivalent price.",
      +  "properties": {
      +    "amount_usd": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "basis": {
      +      "description": "payg_charge = real agent-pay charge. payg_rate_card = indicative price, not billed.",
      +      "enum": [
      +        "payg_charge",
      +        "payg_rate_card"
      +      ],
      +      "type": "string"
      +    },
      +    "billed": {
      +      "description": "true = this amount was actually charged via PAYG for this call. false = indicative PAYG-equivalent value; your plan already covers this call for free.",
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "amount_usd",
      +    "billed",
      +    "basis"
      +  ],
      +  "type": "object"
      +}
    • addedOutput schema / properties / _meta / properties / latency_ms
      Added value: +{
      +  "description": "Wall-clock milliseconds this tool call took, measured server-side around the handler.",
      +  "minimum": 0,
      +  "type": "integer"
      +}
  4. Changed1 schema field changed
    • addedOutput schema / properties / _meta / properties / pit_safe / description
      Added value: +"true iff a zero-look-ahead point-in-time cut was applied to every returned figure"
  5. Changed1 schema field changed
    • addedInput schema / properties / limit / description
      Added value: +"Maximum number of citation overrides to return (1–100). Defaults to 20."
  6. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is established. The description adds meaningful behavioral context: the listing is author-only, newest-first, filterable by ticker or fact_id, and returns at most one row for fact_id. The 'Sample tier rejected' note is a disclosed availability restriction, though its exact meaning is not elaborated.

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 compact and front-loaded with the core purpose, followed by filtering behavior, related tools, and an agent-specific use case. The only minor issue is the cryptic 'Sample tier rejected' phrase, which is brief but unexplained.

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 output schema exists, the annotations disclose the safety profile, and all four parameters are fully documented in the schema, the description is complete enough for an agent to invoke the tool correctly. It covers authorization scope, ordering, filtering options, row cardinality, and a practical agent-facing usage scenario.

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% description coverage, so the baseline is 3. The description reinforces the semantics of ticker and fact_id with examples and row-count behavior, matching what the schema already provides, but it does not add substantial new meaning beyond the structured fields.

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 states exactly what the tool does: lists the caller's citation corrections in author-only, newest-first order. It also distinguishes itself from the related sibling tools save_citation_override and delete_citation_override by being the read/list counterpart and by describing its filtering capabilities.

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 provides a concrete when-to-use scenario: call with `ticker` to introspect previously applied user corrections, especially for system prompts that respect prior corrections during regeneration. It also mentions pairing with save/delete tools, but it does not explicitly state when not to use this tool or compare it against a direct alternative listing tool.

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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