Stuart Innovations Expert Scoping Agent

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

No annotations provided, so description carries full burden. It discloses geographic scope (UK) but omits critical behavioral details: no mention of consult mechanism (API call vs static knowledge), side effects, rate limits, output format, or whether recommendations are persisted.

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?

Single sentence efficiently packs multiple output types (timelines, stacks, advice) without redundancy. Front-loaded with the verb 'provides'. Could benefit from slight expansion to cover behavioral traits given zero annotations.

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?

Adequate for a 2-parameter consultation tool. It covers the core value proposition (what advice is given) but lacks output format details (no output schema exists), explicit usage boundaries, and behavioral disclosures that would be necessary for a complete picture without annotations.

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 coverage is 50% (location described, project_category not). The description partially compensates: 'UK' validates the location parameter's purpose, and 'tech stacks' loosely maps to the project_category enum (web/mobile/software/ai). However, it fails to clarify the enum values' distinct implications or why project_category is required.

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?

Clear verb ('provides') and specific resources (UK delivery timelines, tech stacks, approach advice). The UK geographic scope adds specificity. However, it does not explicitly differentiate from sibling 'get_agency_readiness' despite distinct outputs (advice vs readiness assessment).

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 'UK' qualifier implies geographic scope constraints (implied usage), suggesting when to use it for UK-specific projects. However, it lacks explicit when-not guidance or comparison to the sibling tool 'get_agency_readiness'.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Checks' implies a read-only operation, the description fails to specify the return format (structured data? boolean? text?), potential side effects, rate limits, or authentication requirements. It does disclose the hardcoded scope (Stuart Innovations), which is relevant behavioral context.

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 consists of a single sentence that is appropriately sized and front-loaded with the key action and resources. There is no redundant or extraneous text; every word earns its place in conveying the tool's specific purpose.

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 tool has zero parameters and no output schema, the description adequately conveys the basic purpose and specific domain. However, it lacks explanation of what 'readiness' entails or what format the capacity/expertise information is returned in, which would be necessary for an agent to utilize the results effectively.

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 input schema contains zero parameters. According to the evaluation rubric, zero-parameter tools receive a baseline score of 4 since there are no parameter semantics to describe beyond the empty schema already provided.

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 action ('Checks') and the specific resources ('current project capacity and expertise focus'). It also specifies the scope is limited to 'Stuart Innovations (sistudio.uk)', which provides domain specificity. However, it does not explicitly differentiate from the sibling tool 'consult_project_approach'.

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 provides no guidance on when to invoke this tool versus the sibling 'consult_project_approach', nor does it mention prerequisites or conditions for use. Agents must infer usage solely from the tool name and the specific domain mentioned.

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