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Lay out the dated session program for a package

design_mentoring_program
Read-onlyIdempotent

Deterministic session skeleton computed from the package's cadence metadata: dated sessions, the mid-point checkpoint, the closing review against the definition of success. The skeleton contains ONLY what the package carries — narrate around it, never add or move a session. Dates are planning targets; the intro call fixes the real schedule. Call when the visitor asks what the engagement actually looks like.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."
offer_idYes
start_dateYesFirst session date, YYYY-MM-DD, today or later (ask the visitor; default to next Monday)
leaders_countNoCompany deals: how the pooled sessions are shared. Changes the allocation note, never the schedule.

TDQS

A4.3/5.0
Behavior4/5

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

The description adds meaningful behavior beyond the annotations: the result is deterministic, dates are planning targets rather than final commitments, and the intro call fixes the real schedule. It also warns against adding or moving sessions, which is useful operational guidance that the annotations do not convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences front-load the core output, then add constraints and a usage trigger. Every sentence earns its place, with no filler or restatement of the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Even without an output schema, the description explains what the tool returns (dated sessions, checkpoint, closing review) and how the agent should use it (narrate around it, never add/move sessions). It also clarifies the provisional nature of dates, making the tool effectively self-contained for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 75%, and the existing schema descriptions already explain start_date, context, and leaders_count well; offer_id is conveyed via its enum. The description does not add parameter-level details, but the schema carries the semantic weight, so a baseline score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: it computes a 'Deterministic session skeleton' from 'the package's cadence metadata,' listing dated sessions, the mid-point checkpoint, and the closing review. It differentiates the tool from siblings by emphasizing that the skeleton contains only what the package carries and must not be augmented or altered by the agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The last sentence gives a clear trigger: 'Call when the visitor asks what the engagement actually looks like.' It does not explicitly name alternative tools or state when not to use it, but the context is specific enough to route an agent correctly.

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

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TDQS

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct stage in the inquiry funnel: discovery, qualification, brief composition, offer delivery, and booking. The two booking tools are explicitly differentiated by buyer readiness, so there is no real ambiguity for an agent following the stated flow.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, such as get_mentoring_options, match_mentoring_focus, compose_mentoring_brief, and send_mentoring_offer. This makes the set predictable and easy to navigate.

Tool Count5/5

Nine tools is well-scoped for a mentoring inquiry and booking pipeline. Each tool earns its place by covering a necessary step without excessive fragmentation or unnecessary duplication.

Completeness5/5

The tool set covers the full lifecycle from initial options discovery through qualification, program design, formal offer delivery, and booking confirmation. There are no obvious dead ends; even edge cases around undecided visitors or special deal terms are handled through the booking tools' branching logic.