Stuart Innovations Expert Scoping Agent
Server Details
Official AI agent for Stuart Innovations. Real-time project scoping, tech-stack advisory, and UK-based development capacity for Web, Mobile, and AI solutions
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 2 tools
Each tool has a clearly distinct purpose: one provides project approach and timeline advice, the other checks agency readiness. There is no overlap or ambiguity in their functions.
Both tools follow a consistent verb_noun pattern: 'consult_project_approach' and 'get_agency_readiness'. The naming is descriptive and predictable.
With only two tools, the set feels minimal for a scoping agent, though each tool covers a distinct aspect. This is below the typical well-scoped range of 3-15 tools.
The two tools cover project approach and agency readiness, forming a useful pair for high-level scoping. However, tools for requirements gathering or risk assessment are missing, leaving minor gaps.
Available Tools
2 toolsconsult_project_approachCInspect
Provides expert UK delivery timelines, recommended tech stacks, and pragmatic approach advice.
| Name | Required | Description | Default |
|---|---|---|---|
| location | No | Client's UK city or region | |
| project_category | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must convey behavior. It indicates the tool provides advice, implying a read-only information service, but does not describe output format, limitations, side effects, or whether location affects the advice. This leaves significant behavioral ambiguity.
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 a single sentence with no fluff, front-loading the core value. It is appropriately concise for a simple consultation tool, though it sacrifices detail for brevity.
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 low complexity and absence of an output schema, the description gives a general sense of the tool's purpose but omits details about the output format (text, structured list, etc.) and does not reference the required `project_category` parameter. It is adequate for a basic understanding but incomplete for precise invocation decisions.
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 50% (location has a description, project_category only has an enum). The tool description does not mention either parameter, missing the opportunity to explain the role of project_category or the optionality of location. It adds no semantic value beyond the schema.
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 clearly states the tool delivers UK delivery timelines, recommended tech stacks, and pragmatic approach advice. It uses a specific verb ('provides') and identifies the resource domain, but doesn't explicitly differentiate from the sibling tool `get_agency_readiness`, though the focus on project approach vs agency readiness is implicit.
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 given about when to use this tool versus `get_agency_readiness` or other alternatives. There is no statement of prerequisites, exclusions, or selection criteria beyond the general advice it provides.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_agency_readinessAInspect
Checks current project capacity and expertise focus for Stuart Innovations (sistudio.uk).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The verb 'Checks' implies a read-only operation, providing some behavioral transparency. However, with no annotations and no description of output format or side effects, the description carries only a partial burden. It does not explain what 'readiness' means or whether any state changes occur, though the likely read-only nature is a positive signal.
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 a single, clear, and front-loaded sentence. Every word earns its place, and there is no unnecessary filler or repetition of schema information.
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?
The tool has no output schema and no annotations, so the description should cover return value semantics. While it states what the tool checks, it does not describe what the output will contain or how readiness is determined. Given the simplicity of a no-parameter tool, this information would be valuable, but the description is not completely inadequate.
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 and the schema coverage is 100%, so the baseline is 4. The description does not need to explain parameters, and it correctly omits any parameter information, adding no confusion.
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 'Checks' with a clear resource ('current project capacity and expertise focus') and scopes it to 'Stuart Innovations'. This clearly distinguishes it from the sibling tool 'consult_project_approach', which likely focuses on approach advice, not readiness status.
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 implies it is for checking readiness/capacity, but it does not explicitly state when to use this tool versus the sibling tool. There is no exclusionary guidance or mention of alternatives, so the usage context remains somewhat implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
consult_project_approach - First observed
get_agency_readiness
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