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Build M2M Package Contract

build_m2m_package_contract

Create a machine-readable package contract for agencies, SaaS builders, or other agents that want to integrate the No-Shell operating pack through MCP/API plus human-readable delivery artifacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesPlain-language automation goal.
riskNo
domainNoOptional domain hint such as email_docs, ecommerce_data, knowledge_base, coding.
languageNo
userTypeNoNon-developer, solo operator, small team, developer, agency, etc.
buyerTypeNoAgency, freelancer, SaaS builder, solo operator, internal ops team, etc.
packageModeNomcp_api, starter_pack, agency_workbench, connector_pack, or a custom packaging mode.
currentToolsNoTools/plugins/MCPs already available to the user.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only states that the tool creates a contract and mentions output formats. It does not reveal whether the action is destructive, what permissions or side effects exist, or how the output is structured. The description is too sparse to ensure safe and correct invocation.

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

Conciseness4/5

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

The description is a single efficient sentence that front-loads the main purpose. It is not verbose and contains no filler. While it could benefit from additional structure (e.g., bullet points on usage), it earns its place and is easy to parse.

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

Completeness3/5

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

The tool has 8 parameters and no output schema. The description provides some context (target users, output types) but does not fully explain the output structure, return values, or behavioral implications. Given the complexity, a more thorough description would help an agent understand what to expect after 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%, meaning most parameters have inline descriptions. The tool description adds no extra meaning beyond what the schema already provides (e.g., goal, domain, userType). Since coverage is high, the baseline of 3 is appropriate; the description does not improve parameter understanding.

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

Purpose4/5

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

The description clearly states the tool creates a machine-readable package contract for integrating the No-Shell operating pack via MCP/API, targeting specific user types (agencies, SaaS builders, agents). The verb 'Create' and resource 'package contract' provide specificity, and the mention of human-readable artifacts adds clarity. While it does not explicitly differentiate from siblings, the purpose is sufficiently clear.

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

Usage Guidelines2/5

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

The description provides no explicit guidance on when to use this tool versus its siblings or alternatives. It implies usage in integration contexts but lacks any direct comparison, exclusion criteria, or prerequisites. The agent receives no help in deciding between this and similar tools like audit_automation_plan or build_customer_intake.

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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