Get an overview of the GigNGo platform: what it is, service category count, US coverage, iOS/Android app links, and API documentation URLs. Call this for general "what is GigNGo" questions.
| 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It clearly states what the tool returns—platform overview, category count, coverage, app links, and API documentation URLs—which is the key behavioral trait for an info-only tool. It does not mention side effects or rate limits, but none are relevant for this read-only overview.
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 two sentences with no filler. The first sentence front-loads the tool's purpose and deliverables, and the second sentence provides a clear usage trigger. Every word earns its place.
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?
For a zero-parameter informational tool, the description is complete: it lists the major content areas and states when to invoke it. There is no output schema, but the enumerated items give an agent a solid expectation of the response. A response format note would be a minor enhancement, not a necessity.
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?
The tool has zero parameters, so the empty schema is fully descriptive and the baseline is 4. The description adds no parameter details because none are needed, and it instead clarifies the scope of the returned information, which is more valuable here.
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 uses a specific verb ('get') and resource ('overview of the GigNGo platform'), then enumerates concrete contents: service category count, US coverage, app links, and API documentation URLs. It also explicitly frames the tool for general 'what is GigNGo' questions, which distinguishes it from the task- and worker-oriented siblings.
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?
The description gives clear usage context: 'Call this for general "what is GigNGo" questions.' This tells an agent when to use it, though it does not explicitly name alternatives or state when not to use it. The guidance is sufficient given the sibling tools are clearly more specialized.
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.
Each tool targets a distinct action: browsing tasks, searching workers, viewing a single profile, checking availability, measuring demand density, listing categories, and getting platform info. The only close pair is check_service_availability vs search_local_workers, but one gives aggregate counts by category while the other returns detailed worker profiles, so they remain clearly separated.
All tool names follow a consistent snake_case verb_noun pattern: browse_open_tasks, check_service_availability, get_worker_profile, list_service_categories, search_local_workers. The verbs vary naturally by action but the structure is uniform and predictable.
Seven tools is well-scoped for a local services marketplace discovery server. Each tool covers an essential need: categories, platform info, task browsing, worker search, profile details, availability, and demand density, with no redundant or filler tools.
The read-only discovery workflow is well covered: list categories, check availability, search workers, view profiles, browse tasks, and assess demand density. There is no tool to post a task or apply to one, but the tool descriptions suggest this server is designed for exploration and lookup rather than full marketplace transactions.