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Glama

Unit & Currency Converter

Server Details

60+ units, live FX, timezones, and date arithmetic for AI agents.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

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Tool DescriptionsA

Average 4.2/5 across 6 of 6 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: currency conversion, timezone conversion, unit conversion, date difference, listing timezones, and listing units. There is no overlap or ambiguity between them.

Naming Consistency4/5

Tools follow a consistent pattern: convert_* for conversion operations, list_* for listing operations, and date_diff for date calculation. While the verbs differ, the naming is predictable and clear within the server's scope.

Tool Count5/5

Six tools are well-scoped for a unit and currency converter server, covering essential conversion and listing operations without being excessive or insufficient.

Completeness4/5

The tool set covers core conversion and date utilities, but lacks a list_currencies tool to complement list_timezones and list_units, which is a minor gap for agents needing to know supported currency codes.

Available Tools

6 tools
convert_currencyAInspect

Convert an amount between currencies. Live FX from exchangerate.host (free, no key). Pass an optional ISO date for historical rates. Returns {amount, from, to, rate, date, source}.

ParametersJSON Schema
NameRequiredDescriptionDefault
toYesISO 4217 code, e.g. 'INR'.
dateNoOptional ISO date YYYY-MM-DD for historical rate.
fromYesISO 4217 code, e.g. 'USD'.
amountYes
Behavior5/5

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

No annotations are provided, so the description fully handles transparency. It discloses the live FX source, free nature, no key requirement, optional historical rates, and the exact return object format. This is comprehensive for a simple conversion tool.

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, no wasted words. The purpose is front-loaded, and every sentence adds essential information: the core action, data source, optional parameter, and return format.

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?

Given no annotations or output schema, the description covers the main functionality, data source, optionality, and return structure. It is complete for typical use, though it does not address error handling or invalid inputs, which would be nice but not critical.

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 75%; the description adds context for 'from', 'to' (ISO codes), and 'date' (ISO format). However, the 'amount' parameter lacks any additional explanation beyond its numeric type. The description adds value through the return object details but does not fully compensate for the missing schema description of 'amount'.

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 verb 'convert' and the resource 'an amount between currencies'. It immediately distinguishes from sibling tools (convert_timezone, convert_unit) which deal with different domains.

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?

It provides context by noting the data source (exchangerate.host, free, no key) and optional historical date. While it doesn't explicitly state when not to use, the sibling tools are for different conversions, making the usage domain clear.

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

convert_timezoneAInspect

Re-anchor an ISO datetime from one IANA timezone to another. Accepts the common timezones (UTC, America/, Europe/, Asia/Kolkata, Asia/Tokyo, etc.). Returns the equivalent ISO datetime in the target timezone + the offset difference in hours.

ParametersJSON Schema
NameRequiredDescriptionDefault
isoYesInput datetime, ISO 8601.
to_tzYesTarget IANA timezone.
from_tzYesSource IANA timezone.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool returns the equivalent ISO datetime and offset difference, but it does not specify error handling, idempotency, or availability of timezone lists, leaving gaps in behavioral understanding.

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?

Description is two sentences with no wasted words. The first sentence clearly states the core action, and the second adds return value details. It is appropriately sized and front-loaded.

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?

Given the tool's simplicity and full schema coverage, the description is mostly adequate. However, it does not address potential issues like invalid timezone strings, DST handling, or whether from_tz/to_tz must be strictly IANA (e.g., UTC is not strictly IANA but works). These omissions reduce completeness for a simple tool.

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% (all parameters have descriptions), so baseline is 3. The description adds examples of common timezones but no additional semantic meaning beyond what the schema provides, such as format constraints or edge case handling.

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?

Description explicitly states 'Re-anchor an ISO datetime from one IANA timezone to another', using a specific verb and resource. It clearly differentiates from sibling tools like convert_currency, convert_unit, date_diff, list_timezones, and list_units, which handle different conversions or date operations.

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

Usage Guidelines3/5

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

The description implies usage for timezone conversion but does not explicitly state when to use this tool versus siblings. It mentions accepted timezones but lacks guidance on prerequisites or exclusions, leaving the agent to infer context.

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

convert_unitAInspect

Convert a numeric value between units. Categories: length, mass, volume, area, time, temperature, energy, speed, data, pressure. Accepts canonical names ('meter', 'pound') or common aliases ('m', 'lb'). Returns {input, output, category}.

ParametersJSON Schema
NameRequiredDescriptionDefault
toYesTarget unit.
fromYesSource unit, e.g. 'meter' or 'm'.
valueYesNumeric value to convert.
Behavior4/5

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

With no annotations, the description carries full burden. It discloses accepted unit formats (canonical names and aliases), return structure ({input, output, category}), and categories. However, it does not mention error handling or behavior for invalid inputs.

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 two sentences with no extraneous details. The main action is front-loaded, and all information is relevant.

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?

For a unit conversion tool with no output schema, the description covers input format, categories, and output structure. Missing is guidance on unsupported conversions or precision limits, but overall is sufficient for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, providing baseline 3. The description adds value by specifying that units accept aliases like 'm' and 'lb', and lists example categories, enriching the schema's generic descriptions.

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's purpose: 'Convert a numeric value between units.' It lists categories (length, mass, etc.) and distinguishes from siblings like convert_currency and convert_timezone.

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

Usage Guidelines3/5

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

The description implicitly suggests usage via categories and sibling tool names, but lacks explicit when-to-use or when-not-to-use guidance relative to alternatives such as convert_currency or list_units.

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

date_diffAInspect

Calculate the difference between two ISO dates in the requested unit (ms / seconds / minutes / hours / days / weeks).

ParametersJSON Schema
NameRequiredDescriptionDefault
toYesLater ISO date/datetime.
fromYesEarlier ISO date/datetime.
unitNodays
Behavior3/5

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

No annotations are provided, so the description must carry transparency alone. It describes the core operation but does not disclose behaviors like error handling for invalid dates, timezone handling beyond ISO, or the result type (number). This is adequate for a simple tool but lacks depth.

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 states the verb ('Calculate'), resource ('difference between two ISO dates'), and key units. Every word is informative with no redundancy.

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?

For a simple tool with three parameters and no output schema, the description covers the essential functionality and units. It could mention that the result is a number, but this is implied. Missing error handling details, but overall sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67%, and description adds value by explicitly listing the unit options and implying the subtraction direction ('difference between'). This compensates for the schema's partial coverage of unit and clarifies the order of from and to.

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 it calculates the difference between two ISO dates, listing the available units. It distinguishes from sibling tools like convert_currency and convert_timezone, which handle different conversions.

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 date difference calculations and enumerates supported units, providing clear context. It does not explicitly exclude scenarios or suggest alternatives, but siblings are distinct enough.

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

list_timezonesAInspect

List supported timezones + UTC offsets.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior3/5

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

With no annotations, the description carries full burden. It states the tool lists timezones and offsets, which is adequate but lacks disclosure of behavioral traits such as read-only nature, authentication needs, or rate limits.

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, concise sentence that is front-loaded and contains no unnecessary words. It earns its place efficiently.

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?

Given the simplicity of the tool (no parameters, no output schema), the description is mostly complete. It could mention the output format (e.g., list of timezone IDs and offsets), but it still provides sufficient context for a simple listing tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so schema coverage is 100%. Baseline for zero parameters is 4, and the description adds no parameter information, but none is needed.

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?

Description clearly states the tool lists supported timezones and UTC offsets, using a specific verb ('list') and resource ('timezones + UTC offsets'). It distinguishes from sibling tools like convert_timezone which perform conversions.

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

Usage Guidelines3/5

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

The description implies usage for looking up available timezones but does not explicitly state when to use this tool vs alternatives like convert_timezone or list_units. No when-not guidance is provided.

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

list_unitsAInspect

List all supported units grouped by category. Use this when you're not sure what unit names the converter accepts.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior4/5

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

No annotations are present, so the description carries full burden. It accurately describes the read-only listing behavior without omissions, though it could specify the return format.

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 efficient sentences front-loaded with the action and usage guidance; no wasted words.

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?

Given no output schema and no parameters, the description is mostly complete. It could optionally mention that no input is required, but the current description is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters, the baseline is 4. No additional parameter info needed as the schema is empty and the description's purpose is clear.

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 action ('List all supported units') and the grouping ('by category'), distinguishing it from sibling tools like convert_unit or list_timezones.

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

Usage Guidelines5/5

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

Explicitly advises when to use this tool ('when you're not sure what unit names the converter accepts'), providing clear context and implied 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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