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Glama
trash-panda-v91-beta

Donetick MCP Server

Redeem Points

redeem_points

Redeem reward points for a member by specifying their user ID and the number of points to convert into rewards.

Instructions

Redeem reward points for a member.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pointsYesNumber of points to redeem
member_idYesThe member's user ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It only says 'redeem' without stating whether points are permanently deducted, whether a balance check occurs, what happens on failure, or whether any confirmation or side effects follow.

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 sentence with no filler and the key action front-loaded. It is concise, though the brevity contributes to missing behavioral and usage context.

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?

For a simple two-parameter mutation with an output schema and no annotations, the description covers the basic action and target adequately. However, it leaves out side effects, prerequisites, and failure behavior, making it only minimally complete.

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 description coverage is 100%; both member_id and points already have clear descriptions in the JSON schema. The tool description adds no additional parameter-level meaning beyond the schema, so the baseline of 3 is appropriate.

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 ('redeem') with a clear object ('reward points') and recipient ('for a member'), making the basic action and scope understandable. It largely restates the title and does not distinguish from siblings, but no sibling tool appears to overlap with points redemption.

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 alternatives, no prerequisites, and no exclusions. The only implied context is that it applies to a member's reward points, which is not enough to direct an agent's tool selection.

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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