Auto-handoff when context utilization exceeds threshold, a repetitive task that could be automated with a tool. (reference price: $0.0100 per call)
| Name | Required | Description | Default |
|---|---|---|---|
| payload | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits, but it fails to do so. It does not explain whether the tool initiates a handoff, monitors utilization, or automates something; the phrase 'repetitive task that could be automated' suggests it might be a placeholder. No details on side effects, triggers, or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short at one sentence, but it does not earn its place as it provides misleading or useless information. The 'reference price' note adds noise and is unrelated to the tool's behavior. Conciseness is present but at the expense of clarity and completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity implied by the tool name (automating handoff based on context utilization), the description is grossly incomplete. No output schema details are provided beyond existence, the single parameter is unhelpful, and the description fails to convey what the tool does, returns, or requires. It is wholly inadequate for useful invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and there is only one parameter (payload) with an anyOf type (object or null). The description adds no information about what payload should contain, its purpose, or how it relates to context utilization or handoff. The parameter remains completely undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Auto-handoff when context utilization exceeds threshold' but then adds 'a repetitive task that could be automated with a tool', which is confusing and contradicts the tool name suggesting it performs the handoff. It fails to clearly state what the tool does—whether it monitors, triggers, or executes handoff logic, making it unclear and misleading.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'check_tool_health' or 'develop_tools'. The description does not mention prerequisites, context conditions, or scenarios where this tool is appropriate vs not appropriate, leaving the agent with no usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have vague or overlapping descriptions, such as multiple 'repetitive task that could be automated' tools that lack clear differentiation. The inclusion of meta-tools (e.g., research_pain_points, develop_tools) alongside domain-specific tools further blurs boundaries, making it hard for an agent to select the correct tool.
Tool names use a mix of hyphens (add-license-information-to-codebase) and underscores (develop_tools, check_tool_health), with no consistent pattern. Some names are verbose and descriptive, while others are terse, creating an inconsistent naming convention across the set.
At 20 tools, the count is borderline but not extreme. However, the set includes several tools that are purely descriptive of problems (e.g., ai-generated-code-debugging-overhead) or are meta-tools for the factory itself, which inflates the count without adding practical utility for end users.
The server's purpose is unclear, mixing codebase operations, documentation, gamification, and support tickets. There are obvious gaps: no tool for updating or deleting, and the meta-tools (research, develop, health) are not exposed as a coherent lifecycle. The surface feels incomplete for any single domain.