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@kud/mcp-harness-fme

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update_rule_based_segment_definition

Update the rules, exclusions, and matchers of a segment definition in a specified workspace and environment.

Instructions

Update a rule-based segment definition in an environment (rules, exclusions, matchers)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
definitionYesFull segment definition as a JSON string — includes rules, excludedKeys, excludedSegments
segment_nameYesThe segment name
workspace_idYesThe workspace ID
environment_idYesThe environment ID or name
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states 'Update' without detailing whether this is a full replacement, any side effects, permission requirements, or reverting changes. This is insufficient for understanding the tool's impact.

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 a single, front-loaded sentence that efficiently states the tool's function. It avoids redundancy but could benefit from a slightly more structured format (e.g., listing key behaviors). No waste, but concise is not always complete.

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

Completeness2/5

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

Given the tool has 4 required parameters, no output schema, and no annotations, the description should explain the update behavior (e.g., full replacement), success/failure indicators, or prerequisites. It lacks this context, making it insufficient for an agent to fully understand the tool's behavior.

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?

Schema coverage is 100%, so the baseline is 3. The description adds minimal value by mentioning 'rules, exclusions, matchers' which aligns with the definition JSON value described in the schema. The schema already provides equally detailed parameter descriptions, so no significant gain.

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 uses a specific verb ('Update') and resource ('rule-based segment definition'), and mentions the components it updates (rules, exclusions, matchers), which distinguishes it from sibling tools like create, delete, enable/disable. However, it does not explicitly state that it replaces the entire definition, which could be clearer.

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 provides no guidance on when to use this tool versus its siblings (e.g., create_rule_based_segment, enable_rule_based_segment_definition, etc.). It does not specify prerequisites or alternatives, leaving the agent to infer usage context.

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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