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Get brand material

get_material
Read-onlyIdempotent

Returns the account's material digest (who the brand is, what it sells, claims, experiences, FAQ, sourced numbers, voice) that every generation path appends to the persona. has_material:false means generation currently runs on the persona alone. Applies before generating when it is unclear whether the account has material.

Input Schema

NameRequiredDescriptionDefault
account_idYesAccount id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover read-only/idempotent safety, and the description adds real context beyond them: how the digest is consumed (appended by every generation path), and what has_material:false signals about fallback behavior. It stops short of describing payload size or shape, but that is a minor gap given no output schema exists.

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?

Three sentences, front-loaded with the return content, followed by the flag semantics and the usage trigger. Dense but no filler; the parenthetical list is efficient rather than verbose.

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

Completeness4/5

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

With no output schema, the description does the work of explaining the return: digest contents plus the has_material flag. That is enough for an agent to call it correctly; only the absence of a pointer to build_material for the has_material:false case leaves a small gap.

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?

There is one required parameter, account_id, fully documented in the schema (100% coverage). The description adds nothing about scoping or format for account_id, so the schema carries all semantic weight — baseline 3 applies.

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?

States a specific verb and resource ('Returns the account's material digest') and enumerates the digest contents (identity, claims, experiences, FAQ, sourced numbers, voice). It does not explicitly differentiate from the sibling build_material, so an agent must infer the read-vs-build distinction from the verb alone.

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?

Gives a clear trigger: call it 'before generating when it is unclear whether the account has material.' It does not name the obvious alternative (build_material) or state when the digest is unnecessary, so routing is good but not exhaustive.

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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