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create_project_estimate_points

Creates estimate points for a project estimate by providing point definitions with value, key, and optional description.

Instructions

Create estimate points for a project estimate.

Each point dict may have: value (required, max 20 chars), key (int), description, external_id, external_source.

Example: points=[ {"value": "1", "key": 0}, {"value": "2", "key": 1}, {"value": "3", "key": 2}, {"value": "5", "key": 3}, {"value": "8", "key": 4}, ]

Args: project_id: UUID of the project estimate_id: UUID of the estimate points: List of point definitions

Returns: List of created EstimatePoint objects

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pointsYes
project_idYes
estimate_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations indicate write operation (readOnlyHint=false). Description adds context on point dict fields and example but doesn't disclose behavior like duplicate key handling or overwriting. 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?

Well-structured with clear header, bullet points, example, and explicit args. Could be slightly more concise, but no redundant information.

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?

Missing context about prerequisites (e.g., estimate must exist) and behavior when points already exist. Output schema exists but is not elaborated, which is acceptable.

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

Parameters4/5

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

Schema coverage is 0%, but description compensates by detailing point dict fields, providing an example, and listing required args, adding significant meaning beyond the minimal schema.

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?

Description clearly states 'Create estimate points for a project estimate' and distinguishes from sibling tools like create_project_estimate and update_project_estimate_point by specifying it creates point definitions within an estimate.

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

Usage Guidelines3/5

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

No explicit when-to-use or when-not-to-use guidance relative to siblings. The example implies usage, but prerequisites (e.g., estimate must exist) and alternatives are not mentioned.

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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