RPG Connecta

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

readOnlyHint, destructiveHint=false and openWorldHint=false already establish the safety profile, so the description needs only light additional context. It adds none: no indication whether this returns static guidance, a multi-step plan, or links, and 'safe path' stays undefined.

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?

A single front-loaded sentence with no filler. It is efficient, though the brevity comes at the cost of specificity rather than through tight phrasing of concrete facts.

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?

With no parameters, no output schema and full annotation coverage, the surface area is small, but the description still leaves the core unknown: what an agent gets back and how to use it. For an entry-point/onboarding tool, that is a meaningful gap rather than a fatal one.

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 takes zero parameters, so there is nothing for the description to disambiguate. Baseline of 4 applies; no parameter-level content is missing.

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 verb 'Return' plus the phrase 'shortest safe path from evaluation to sandbox and production integration' hints at an onboarding/guidance tool, but 'path' is metaphorical and the description never states what is actually returned (a checklist, docs, recommended sequence). It is distinguishable from connecta_pricing or connecta_integration_options only by inference.

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 explicit statement of when to call this versus the three siblings, and no prerequisites or exclusions. The 'from evaluation to sandbox and production' phrasing weakly implies a first-step/onboarding context, but the agent must infer that.

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?

Annotations already declare readOnlyHint=true, openWorldHint=false, destructiveHint=false, so safety is covered structurally. The description adds value by enumerating the five integration topics the response will cover. It stops short of saying what the answer looks like or whether it includes comparative guidance between options.

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?

A single compact sentence with the topic list front-loaded and no filler. The phrasing is telegraphic ("Skill", "public discovery MCP") but each element carries meaning.

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 simple, no-parameter, read-only explainer with no output schema, the description covers what content to expect. It is silent on whether the output is a fixed document or a comparison tailored to a use case, which is the one thing an agent would want to know before calling.

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 takes zero parameters, so there is nothing to document; the description's enumeration of covered topics is all that is needed on that axis. Baseline of 4 applies for a parameterless tool.

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?

Uses a specific verb ("Explain") plus an enumerated set of resources (REST/OpenAPI, sandbox, Skill, public discovery MCP, authenticated operational MCP), so what the tool does is unambiguous. It does not, however, distinguish itself from siblings like connecta_product_info or connecta_getting_started, which likely overlap in topic.

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 statement of when to call this versus the sibling explainer tools, and no prerequisites or exclusions. The agent must infer that this is the place to look for integration-method details rather than product or pricing information.

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?

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds only the qualifier "current published self-serve", which usefully signals that non-published or negotiated/enterprise pricing is out of scope, but says nothing about currency, region, tier structure, or freshness guarantees.

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?

A single front-loaded sentence with no filler, caveats, or restated title. Every word carries scoping 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?

With no output schema, the description is the only source of expectations about what comes back, and "commercial model" is ambiguous about structure (tiers, prices, currencies, billing units). For a simple zero-param read the gap is modest but real.

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 takes zero parameters, so the baseline is 4; there are no parameter semantics for the description to compensate for. The description correctly implies a no-argument, unconditional lookup.

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?

States a specific verb ("Return") and a specific resource ("the current published self-serve commercial model"), which an agent can map to pricing retrieval. It does not explicitly contrast itself with connecta_product_info, so the boundary between pricing and product information is left to inference.

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?

There is no explicit when-to-use statement, no exclusion, and no named alternative among the sibling tools. Usage is only implied by the term "pricing" in the name and the description's "commercial model" phrase.

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?

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds a genuinely useful disclosure beyond them: 'This tool never reads customer bank data,' which is meaningful assurance in a banking-product context. It stops short of describing the shape of the returned content.

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?

Two short sentences, zero filler. The content scope comes first and the privacy constraint is a tight closing line that 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?

With no parameters, no output schema, and annotations covering the safety profile, the description gives enough to call the tool correctly. The one missing piece is how its content relates to the overlapping pricing and getting-started siblings, which an agent would need to route between them.

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 takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly avoids inventing parameter detail.

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 names a specific verb ('Explain') and enumerates the covered topics: what RPG Connecta is, audience, pricing, and canonical developer resources. It is clear what the tool does, but it does not differentiate itself from siblings like connecta_pricing and connecta_getting_started, whose scopes visibly overlap with the listed content.

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?

There is no statement of when to call this tool versus the similarly-scoped siblings connecta_pricing or connecta_getting_started. A reader is left to infer whether this is an overview entry point or a duplicate of those tools.

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