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Glama

Server Details

Merchant offers with validated discounts and no bought rankings; accepting mints a voucher code.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Glama
MCP server

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Tool DescriptionsA

Average 4.3/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: search, detail retrieval, and claiming an offer. No overlap or ambiguity.

Naming Consistency5/5

All tools follow the consistent pattern 'offers_<verb>' (accept, find, get), making naming predictable.

Tool Count5/5

Three tools are minimal but exactly cover the core operations for an offers system: search, view details, and redeem. No unnecessary tools.

Completeness4/5

The set covers search, read, and claim actions. Missing update or delete for offers, but these may be outside the user-facing scope. Generally complete for the domain.

Available Tools

3 tools
offers_acceptAInspect

Claim a code offer for the user: mints a single-use redemption code they show the merchant in person. Use only once the user has decided to take a specific offer (confirm the details first). Returns the code and how to redeem it.

ParametersJSON Schema
NameRequiredDescriptionDefault
offer_idYesThe offer id from offers_find / offers_get
Behavior5/5

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

The description adds significant behavioral context beyond annotations: it reveals that the tool creates a single-use code, that it is for in-person redemption, and that it returns the code and redemption instructions. Annotations only indicate it is not read-only and not destructive, so the description fills in the operational details well.

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 three sentences long, front-loading the core action and output, followed by a usage guideline. Every sentence adds value, with no redundancy or fluff.

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

Completeness5/5

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

Given a simple tool with one parameter, no output schema, and annotations present, the description fully explains the purpose, usage context, expected output, and behavioral traits. It is complete enough for an agent to select and invoke correctly.

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?

The input schema has 100% description coverage for the single parameter 'offer_id', which already explains it comes from offers_find/offers_get. The description adds no additional parameter-level detail beyond the schema, so a baseline score of 3 is appropriate.

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 claims a code offer for the user, mints a single-use redemption code, and indicates the code is shown to the merchant in person. This distinguishes it from sibling tools offers_find and offers_get which are for listing and retrieving offers.

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 explicitly says 'Use only once the user has decided to take a specific offer (confirm the details first).' This gives clear instructions on when to invoke the tool. However, it does not explicitly mention when not to use it or name alternative tools, though siblings are implied by context.

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

offers_findA
Read-only
Inspect

Search current offers by free-text query, category, and/or place. Returns active offers with title, pricing (including the reference price a discount is measured against), validity window, and location.

ParametersJSON Schema
NameRequiredDescriptionDefault
cityNoCity name
queryNoFree-text search over title, description, and product
countryNoCountry name or code
categoryNoOffer category, e.g. restaurant, beauty, event
Behavior4/5

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

Beyond annotations (readOnlyHint=true, destructiveHint=false), description adds that returned offers are active, includes pricing reference point, validity window, and location. No contradiction.

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?

Two sentences, front-loaded with main action. No redundant words; every sentence adds value.

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?

Since no output schema, description includes return fields. Covers filters and outputs. However, misses pagination or ordering details that a search tool might need.

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 has 100% coverage with descriptions for all 4 parameters. Description mentions free-text query, category, and place (city/country) but adds little beyond what's in schema. Baseline 3 is appropriate.

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?

Clearly states the tool searches current offers with multiple filters (free-text, category, place) and specifies return fields (title, pricing, validity, location). Distinguishes from sibling tools offers_accept and offers_get which handle accepting or retrieving specific offers.

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?

Provides context on when to use the tool (searching offers) but does not explicitly exclude alternatives or state when not to use it. Sibling distinction is clear from purpose.

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

offers_getA
Read-only
Inspect

Get one offer by id: full details, redemption terms, validity, and the merchant's verification record (whether AITWIRE has independently measured the merchant, with accuracy statistics when it has).

ParametersJSON Schema
NameRequiredDescriptionDefault
offer_idYesThe offer id from offers_find
Behavior4/5

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

The description adds value beyond the readOnlyHint and destructiveHint annotations by detailing what the response includes (redemption terms, validity, merchant verification with accuracy statistics). It accurately portrays a non-destructive read operation.

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 a single, front-loaded sentence that concisely conveys the tool's action and output without extraneous words.

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

Completeness5/5

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

For a simple read tool with one parameter and no output schema, the description fully covers what the tool does and what information is returned, supported by clear annotations.

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?

With 100% schema coverage, the baseline is 3. The description reinforces the parameter's purpose ('by id') but does not add new meaning or constraints beyond the 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?

The description clearly states 'Get one offer by id' and enumerates the specific information returned (full details, redemption terms, validity, merchant verification record). This distinguishes it from sibling tools offers_find and offers_accept, which serve different purposes.

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 context by referencing 'The offer id from offers_find', indicating a prerequisite step. However, it does not explicitly state when not to use this tool or provide alternatives.

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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