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Translate for families

translate
Read-only

Translate counselor-facing output into a family's language, holding the financial aid terms in English on purpose. FAFSA, Pell, SAI, COA and the loan names stay untranslated so a family can match what the school actually sends them against what they were told. Read-only.

Cost: about 173 credits (~$0.173) per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceTextYesThe text to translate. Usually the output of another tool.
targetLangYesTarget language code.

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnlyHint and destructiveHint annotations, the description discloses the per-call cost (about 173 credits) and the deliberate policy of keeping financial aid terms untranslated. It also states 'Read-only' in prose and explains the family-facing rationale behind the terminology behavior.

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 short sentences front-load the purpose and key behavioral constraints, with the cost line separated for scannability. There is no filler or unnecessary repetition.

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?

For a two-parameter translate tool with complete schema coverage and read-only annotations, the description supplies the essential context: input origin, target audience, terminology policy, and cost. It does not explicitly describe the return value, but that is strongly implied by the tool's name and purpose, so there is no meaningful invocation 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?

Schema description coverage is 100%, so the schema already fully documents sourceText and targetLang; the description does not need to add parameter-level detail. It adds light semantic framing by describing sourceText as counselor-facing output, but no new syntax or format information.

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 opens with a specific verb and resource: 'Translate counselor-facing output into a family's language.' It further clarifies scope by explaining that FAFSA, Pell, SAI, COA, and loan names intentionally stay untranslated, which distinguishes this behavior from generic translation tools.

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 description clearly establishes when to use the tool: when converting counselor-facing text into a family's language, with the schema adding that sourceText is usually another tool's output. It does not explicitly name alternatives or state when not to use it, but the use case is specific enough to guide selection.

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

A4.2/5.0
Disambiguation5/5

Every tool targets a distinct workflow: writing vs. critiquing letters (rec/letterlens/revision), pre-award vs. post-award aid (aid/awardlens), and text rewriting vs. translation (humanize/translate). Descriptions explicitly cross-reference related tools to prevent misselection.

Naming Consistency3/5

Names are mostly short single lowercase words, but there is no consistent verb_noun pattern: some are nouns (profile, appeal), some verbs (humanize, translate), and two use underscores (account_balance, quote_call). The conventions are readable but mixed.

Tool Count5/5

13 tools is well within the ideal range for a specialized counselor assistant. Each tool has a clear role, including two free utility tools (account_balance, quote_call) that support budgeting without bloating the core surface.

Completeness4/5

The set covers the main counselor workflows end-to-end: profile input, financial aid analysis, FAFSA checklists, appeal letters, recommendation letters, scholarships, and family-facing translation. Minor gaps exist (e.g., no dedicated college-list builder or essay drafting tool), but agents can work around them.

Resources