AgentTakt
Server Quality Checklist
Latest release: v0.1.5
- Disambiguation5/5
Only one tool exists, so there is no possibility of confusion or overlap. The tool has a clear, single purpose.
Naming Consistency5/5With only one tool, naming consistency is trivially satisfied. The name 'request_approval' clearly follows a verb_noun pattern and is unambiguous.
Tool Count2/5A single tool is too few for a server that might reasonably support additional operations such as querying approval status or managing plans. The minimal surface feels thin for a general-purpose agent toolkit.
Completeness4/5The tool covers the full submit-and-wait-for-approval lifecycle, but there are minor gaps like cancellation or historical querying. For its stated purpose, the core workflow is complete.
Average 4.6/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 42 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
This repository includes a glama.json configuration file.
This server has been verified by its author.
How to sync the server with GitHub?
Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.
To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description fully carries the behavioral burden. It discloses the blocking behavior, the exact return format, the possibility of the plan being edited, and the critical instruction to execute the returned plan. This goes beyond the schema and provides essential behavioral insights.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and front-loaded with purpose, followed by behavior, return value, and parameter explanations. Every sentence provides value, with no tautology or fluff. The formatting with paragraphs and an Args list enhances readability without being overly verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the tool's purpose, blocking behavior, return format, and parameter semantics, which is comprehensive for a two-parameter tool. It lacks explicit error scenarios or timeout handling, but the output schema (as described in the return format) and parameter hints are sufficient for correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Since schema description coverage is 0%, the description must compensate, and it does. It explains 'plan' as 'Plan JSON with graph_id, nodes[] and edges[] (must be a DAG)' and 'summary' as 'One-line description shown in the editor header'. This adds meaning, though the inner structure of nodes/edges is not detailed, leaving some room for improvement.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('Submit') and resource ('a task execution plan for human review in the AgentTakt editor'). It unambiguously identifies what the tool does, making its function distinct even in the absence of sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context by noting that the tool blocks until human approval/rejection and instructs to 'always execute the returned plan'. It does not explicitly mention alternatives or exclusions, but given no sibling tools, this is acceptable and gives practical usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GitHub Badge
Glama performs regular codebase and documentation scans to:
- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
Our badge communicates server capabilities, safety, and installation instructions.
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