RegusciLabs Innovation Lab

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world. The description adds real value beyond them by stating the content is published/public and that no authentication is required, which is useful behavioral context. It stops short of describing return format or pagination.

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, front-loaded sentences with no filler. Efficient, though the trailing enumeration of content categories is somewhat list-like rather than informative.

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 single-optional-parameter read tool with full annotation coverage, 100% schema description, and no output schema, the description supplies what is needed: what is read, its public/published scope, and the no-login condition. Nothing essential is missing.

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 100%, so the single 'path' parameter is already fully documented in the schema (including the llms.txt/sitemap.xml source and no-private-path constraint). The description adds nothing about the parameter, so the baseline 3 applies.

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 (Read) and resource (published RegusciLabs information) and enumerates the content domains covered. It does not explicitly distinguish itself from the sibling search_information, so an agent must infer the difference (direct path read vs. query).

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 when-to-use or when-not-to-use guidance, and the sibling search_information is never referenced. The only usage-adjacent statement is 'No login needed,' which is an auth note rather than a selection rule.

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 readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description still adds meaningful context by clarifying the result nature — source links and excerpts rather than generated claims — which tells the agent not to expect synthesized answers.

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, front-loaded with what the tool does and immediately qualifying the return content. No padding.

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 four-parameter tool with low schema coverage and no output schema, the description covers purpose, language scope, and return nature, but says nothing about result limits or pagination behavior, leaving gaps an agent would need to fill from the schema alone.

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 only 25%, so the description should compensate, but it only loosely implies the query and enumerates the two locales (already captured by the enum). The limit cap and the cursor's same-query/same-locale constraint are not reinforced or clarified in the description.

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 and resource (search public RegusciLabs content) and adds scope (Spanish or English). It does not explicitly distinguish itself from the sibling read_information, leaving the search-vs-read boundary 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?

Usage is only implied by the word 'search' and the bilingual scope; there is no statement of when to reach for this versus read_information, nor any prerequisites or exclusions.

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?

Goes well beyond the annotations: live submissions send a team notification and attempt CRM storage, and the idempotency contract (7-day reuse, never retry an uncertain action with a new key) is spelled out. This is consistent with idempotentHint=false, since the key is what makes retries safe rather than the tool being inherently idempotent.

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?

Five short sentences, front-loaded with the action and then the preconditions, safety mechanisms, and retry contract. Every sentence carries operational information with no filler.

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 14-parameter mutation tool with no output schema, the description covers the critical unknowns: approval requirement, dryRun behavior, side effects, and retry safety. It does not describe what a dryRun or live response returns, but with no output schema that is a minor gap.

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?

With only 43% schema coverage across 14 parameters, the description compensates by explaining the semantics of the highest-risk fields: dryRun as a validate-only gate, confirmed as explicit person approval, and idempotencyKey as a retry-safety token. It adds meaning beyond the schema, though several required fields (name, role, stage, timeline, whatsapp) remain undocumented in both places.

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 and resource ('Send a project idea to RegusciLabs to start discovery') and immediately scopes what it is not ('Does not subscribe the person'), which separates it from the sibling subscribe_pulse. An agent can identify the action and its boundary without opening the schema.

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?

Gives concrete procedural guidance: validate with dryRun:true first, require explicit approval and contact details, and reuse the idempotencyKey for retries within 7 days. It distinguishes itself from subscribe_pulse, but it does not explicitly rank itself against read_information or search_information as alternatives.

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 establish mutation (readOnlyHint=false), open-world reach, and non-idempotency, and the description adds the concrete effects beyond them: live calls store a subscription, send a confirmation email and notify the team. It also discloses the retry contract for idempotencyKey (reuse with identical input within 7 days, never retry an uncertain action with a new key), which is exactly the side-effect detail an agent needs.

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?

Four sentences, front-loaded with purpose, then validation, live effects and retry semantics in a logical order. Dense but every clause is actionable; no filler.

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 10-parameter, non-idempotent mutation with no output schema, it covers the critical unknowns: dry-run verification, live side effects, consent/approval gating and retry safety. Return values are rightly omitted (no output schema), though failure behavior and the confirmed/whatsapp fields remain unaddressed.

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 only 40% (<50%), so the description must compensate. It does map 'format, frequency and language' to deliveryFormat/cadence/locale and reinforces dryRun and idempotencyKey, but it says nothing about whatsapp, name/email constraints, or the confirmed gate, leaving part of the low-coverage gap unfilled.

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 and resource ('Subscribe a person to The Pulse by email') and names the essential qualifiers (consent, format, frequency, language). It is clearly distinguishable from the read/search/inquiry siblings, which either retrieve data or capture a non-consented contact.

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?

Gives explicit sequencing guidance ('Validate with dryRun:true first') and the condition for a live call (approved submission). It does not name sibling alternatives, e.g. routing a non-consenting inquiry to submit_inquiry, but the consent condition is stated well enough to select the right tool.

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