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Glama

Server Details

AI task cockpit: an agent does your tasks and asks before anything irreversible.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
dougsureel-tech/radtask-mcp
GitHub Stars
0

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 3.6/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: create, list, and complete tasks. No overlap or ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (create_task, list_tasks, complete_task) with snake_case.

Tool Count4/5

3 tools is minimal but appropriate for a focused task management server; each tool serves a necessary function without being overly sparse.

Completeness3/5

Covers basic create, list, and status update (complete) but lacks update and delete operations, which are notable gaps for full task lifecycle management.

Available Tools

3 tools
complete_taskAInspect

Mark a RadTask task done by its id (from list_tasks).

ParametersJSON Schema
NameRequiredDescriptionDefault
idYes
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only indicates a state change ('Mark done') but does not mention whether the change is reversible, idempotent, or has side effects. This is insufficient for a mutation 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?

The description is a single, front-loaded sentence that conveys the essential action without extraneous words. Every part serves a purpose.

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 low complexity (1 param, no output schema), the description covers the basic purpose and parameter source. However, it lacks details about the result of the action (e.g., success/failure, state change confirmation) and potential side effects, leaving some gaps.

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?

Despite 0% schema description coverage, the description adds meaning to the only parameter 'id' by specifying it is obtained 'from list_tasks'. This provides source context beyond the type string, helping the agent understand how to populate the parameter.

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 'Mark a RadTask task done' and the resource 'task by its id'. It distinguishes from siblings create_task and list_tasks by focusing on completion. The reference to list_tasks provides context for obtaining the id.

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 mentions that the id comes from list_tasks, hinting at a prerequisite. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide when-not guidance. Some usage context is implied but not detailed.

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

create_taskAInspect

Add a task to the user's RadTask cockpit. Use this to capture anything the user wants done or tracked.

ParametersJSON Schema
NameRequiredDescriptionDefault
titleYesThe task in plain English
projectNoOptional project to group it under
Behavior2/5

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

No annotations present, so description must disclose behavior. Only states 'Add a task' which implies write operation, but no mention of side effects, permissions, reliability, or return values. Inadequate for a mutation 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, front-loaded with 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?

Simple tool (2 params, no output schema). Description covers purpose and usage adequately. Lacks behavioral details (e.g., idempotency, confirmation), but given low complexity, it is mostly 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% with clear descriptions for 'title' and 'project'. Description adds general context but does not enhance parameter meaning beyond 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 verb 'Add', resource 'task to RadTask cockpit', and scope 'anything user wants done or tracked'. Distinguishes from sibling tools (complete_task, list_tasks) as it focuses on creation.

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 clear guidance on when to use ('capture anything the user wants done or tracked') but lacks explicit exclusions or comparison to siblings. Context is implied rather than stated.

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

list_tasksBInspect

List the user's RadTask tasks, optionally filtered by status.

ParametersJSON Schema
NameRequiredDescriptionDefault
statusNo
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It states 'list' implying a read-only operation but does not explicitly confirm non-destructiveness, mention pagination, ordering, or any side effects. This is insufficient for a mutation-free tool.

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, efficient sentence with no fluff. It front-loads the core action and scope. However, it could be slightly longer to include critical missing details without harming conciseness.

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 (one optional param, no output schema), the description covers basic purpose but lacks behavioral and parameter details. It is minimally adequate but not robustly complete.

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 coverage is 0%, so the description must explain the parameter 'status' and its enum values. It only says 'optionally filtered by status' without defining what each status (todo, running, etc.) means. This adds negligible value over the raw 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 the verb (list), resource (RadTask tasks), and scope (user's tasks). It differentiates itself from sibling tools like complete_task and create_task, establishing its role as a read-only listing tool.

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 mentions optional status filtering but provides no explicit guidance on when to use this tool versus siblings. While the purpose is implicit, it lacks direct statements like 'Use this to view tasks; use create_task to add new ones.'

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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