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Get Feature Forecast

get_feature_forecast
Read-onlyIdempotent

Read and hash-verify one owned immutable delivery scenario by replaying its minimal saved inputs. Includes structural identities and event history, never ticket prose. Current source deletion does not erase the capture. A scenario is not a commitment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observation_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description nonetheless adds real behavioral value: it is a replay of saved minimal inputs, returns structural identities and event history, excludes ticket prose, and survives deletion of the current source. It stops short of stating auth/ownership enforcement or any size or pagination behavior.

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?

Four short sentences with no padding; the core action and scope lead, followed by content and durability caveats. The closing line 'A scenario is not a commitment' is interpretive framing rather than operational instruction, but it is brief and arguably sets expectations.

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

Completeness3/5

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

With no output schema, the description usefully sketches the return contents (structural identities, event history, no ticket prose) and durability semantics, which is meaningful compensation. But for a tool whose only input is undocumented, the definition leaves the agent without enough to know what an observation_id must be, which is a real gap given the absence of an output schema.

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

Parameters2/5

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

There is one required parameter (observation_id) at 0% schema description coverage, and the description never mentions it or explains where the id comes from or what it identifies. With low coverage the description was expected to compensate and it does not.

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 gives a specific verb pair ('Read and hash-verify') and a specific resource ('one owned immutable delivery scenario'), which is more precise than the tool name alone. However, it uses domain jargon ('scenario') that is not explicitly tied to the 'forecast' concept in the name, and it does not name any sibling to differentiate from list_feature_forecasts or compare_feature_forecasts.

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?

The description never states when to call this tool versus the clearly related siblings list_feature_forecasts, capture_feature_forecast, or compare_feature_forecasts. It implies single-record retrieval via 'one owned... scenario' but offers no prerequisites, exclusions, or alternative routing.

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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