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List Guidance Outcomes

list_guidance_outcomes
Read-only

Company guidance versus the reported actual.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNotimestamp: newest actual first; outcome_abs: largest |score| first.timestamp
limitNo
detailNoessential:identity; standard:citable; full:all.full
symbolsNoMatch any.
outcomesNoMatch any. Omit: resolved labels only.
segmentsNoMatch any. 'null' is consolidated.
metric_keysNoMatch any.
metric_basisNoMatch any.
end_timestampNoSystem timestamp; Inclusive ISO 8601; null=realtime
start_timestampNoSystem timestamp; Inclusive ISO 8601
guided_fiscal_yearNo
guided_period_typeNoMatch any.
guided_period_end_toNoInclusive guided period-end date.
guided_fiscal_quarterNo
guided_period_end_fromNoInclusive guided period-end date.
metric_key_exact_matchNotrue: exact metric_keys, case-insensitive; false: case-insensitive substring. Ignored without metric_keys.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.6/5.0
Behavior2/5

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

The annotations provide readOnlyHint=true and destructiveHint=false, which are transparent, but the description adds no behavioral details beyond that. It does not mention that the tool returns a list, supports filtering, or has any default behavior. The vague 'versus' phrasing does not clarify the tool's side effects or data manipulation.

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

Conciseness2/5

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

The description is extremely concise (one short fragment), but it lacks a verb and a clear subject-predicate structure. It is not well-formed prose and does not communicate the tool's core action effectively. While brevity is positive, this is too terse to be useful.

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

Completeness1/5

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

Given the tool has 16 parameters and a complex schema, the description provides essentially no context. It does not explain what a 'guidance outcome' is, how it relates to guidance versus actuals, or what the output represents. The description is entirely inadequate for the complexity of the tool.

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 schema has high coverage (81%) with descriptions for most parameters, so baseline is 3. However, the tool description adds no additional semantics to the parameters; it relies entirely on the schema. For example, the description does not clarify how 'metric_key_exact_match' behaves or what 'segments' represents beyond the schema's own text.

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

Purpose1/5

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

The description 'Company guidance versus the reported actual.' is a fragment, not a sentence with a verb. It does not state that the tool lists guidance outcomes, making its primary function unclear. The title 'List Guidance Outcomes' is more informative than the description itself.

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

Usage Guidelines1/5

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

The description provides zero guidance on when to use this tool versus its siblings (e.g., list_guidance, list_wire). There is no mention of scenarios, filters, or how this tool differs from alternatives. A user would not know if this is the right tool for their query.

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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