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Glama

Server Details

Refund eligibility notary for US subscriptions. Returns ALLOWED/DENIED/UNKNOWN.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
decidefyi/decide
GitHub Stars
1
Server Listing
decide

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MCP server

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Tool DescriptionsA

Average 4.2/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Only one tool exists, so there is no risk of confusion with other tools.

Naming Consistency5/5

The single tool name 'refund_eligibility' follows a clear verb_noun pattern, which is consistent with MCP conventions.

Tool Count3/5

A single tool is on the low end but may be appropriate if the server's purpose is highly focused solely on eligibility checks.

Completeness2/5

The tool only evaluates eligibility; missing steps like initiating a refund, checking status, or handling appeals leaves significant gaps for a refund workflow.

Available Tools

1 tool
refund_eligibilityCheck refund eligibilityA
Read-onlyIdempotent
Inspect

Evaluate a US consumer subscription refund against versioned source-backed rules. Returns UNKNOWN when required conditions are absent or the vendor requires approval or manual policy review.

ParametersJSON Schema
NameRequiredDescriptionDefault
planYesPlan type. Currently only 'individual' plans are supported.
regionYesRegion code. Currently only 'US' is supported.
vendorYesVendor identifier (lowercase, underscore-separated).
days_since_purchaseYesNumber of days since the subscription was purchased.
qualifying_conditions_metNoRequired when the vendor policy has source-specific conditions such as first purchase, unused benefits, or an eligible annual plan.

Output Schema

ParametersJSON Schema
NameRequiredDescription
codeYes
vendorNo
messageYes
verdictYes
refundableNo
source_hashNo
window_daysNo
evaluated_atNo
rules_versionNo
policy_versionNo
rulebook_resultNo
required_contextNo
policy_source_urlNo
days_since_purchaseNo
policy_last_checkedNo
policy_source_notesNo
policy_last_verified_utcNo
Behavior4/5

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

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds the key behavioral detail that the tool returns UNKNOWN when required conditions are absent or vendor approval/policy review is needed, which goes beyond annotation information.

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

Conciseness5/5

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

The description is concise with two sentences. The first sentence states the primary purpose, and the second adds a critical behavioral condition (UNKNOWN). No redundant information is present.

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

Completeness4/5

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

The tool has an output schema (not shown but referenced) and 100% parameter coverage. The description covers the core behavior and edge cases (UNKNOWN). While it doesn't detail return values, the output schema handles that. Slight missing detail on eligibility outcomes beyond UNKNOWN, but overall complete enough.

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 does not add additional semantics for individual parameters beyond what the schema already provides. The schema descriptions are sufficient for parameter understanding.

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?

The description clearly states the tool evaluates a US consumer subscription refund against versioned source-backed rules. It uses specific verbs ('Evaluate') and identifies the resource ('subscription refund eligibility'). The behavior when returning UNKNOWN is explicitly mentioned, providing full purpose clarity.

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

Usage Guidelines4/5

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

The description implies usage for checking refund eligibility and specifies 'US consumer subscription', which sets context. However, it does not explicitly state when not to use this tool or provide alternative tools. Since there are no sibling tools, the lack of exclusions is acceptable.

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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