Skip to main content
Glama
ejwhite7

@b2b-saas-inc/olli-mcp-server

update_incentive_reward

Update an existing incentive reward by providing its workspace and ID, with optional changes to name, description, points cost, or quantity.

Instructions

Update an incentive reward

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYesWorkspace slug or UUID
idYesIncentive reward UUID
nameNo
descriptionNo
points_costNo
quantityNo
Behavior2/5

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

Without annotations, the description must disclose behavioral traits. It only states 'update', implying mutation, but does not explain side effects, permissions, idempotency, or response behavior. Minimal disclosure beyond the basic action.

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

Conciseness3/5

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

The description is a single sentence, making it concise. However, it is too brief to add significant value, but it is not overly verbose. It earns its place by being clear but minimal.

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 6 parameters, no output schema, and no annotations, the description is incomplete. It does not specify that the update is partial, what fields are updatable, or any constraints. Lacks critical context for correct invocation.

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?

Schema description coverage is low (33%). The description 'Update an incentive reward' adds no meaning to the parameters. It does not compensate for missing schema descriptions of name, description, points_cost, quantity. Schema descriptions for workspace_id and id are adequate but not enhanced.

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 clearly states the action (update) and resource (incentive reward), distinguishing it from sibling tools like create_incentive_reward, delete_incentive_reward, get_incentive_reward, and list_incentive_rewards. However, it lacks specificity about what aspects of the reward can be updated.

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?

No guidance on when to use this tool versus alternatives like create_incentive_reward or when not to use it. Missing prerequisites or context for invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ejwhite7/olli-social-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server