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Revise a draft

revision

Apply one instruction to an existing letter and return the revised text. Pair it with letterlens: review to find the problems, revise to fix them. Changes only what the instruction asks for.

Cost: about 97 credits (~$0.097) per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
currentTextYesThe letter as it stands.
instructionYesWhat to change. One instruction per call gets a cleaner result than a list.

TDQS

A4.3/5.0
Behavior4/5

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

The annotations (readOnlyHint=false, destructiveHint=false) convey little, so the description carries the burden. It adds meaningful behavioral detail: returns revised text, changes only what the instruction requests, and costs about 97 credits per call. No side effects are disclosed, but the wording implies a contained transformation.

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?

The description is compact and front-loaded: it states the primary action first, then adds pairing guidance, scope constraints, and cost. Every sentence earns its place with no filler or repetition.

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?

For a two-parameter tool with no output schema and minimal annotations, the description is complete enough. It explains what the tool does, what it returns, how it pairs with a sibling tool, what its behavioral scope is, and the cost. No critical operational detail is missing.

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 both parameters. The description adds only the workflow-level notion of applying 'one instruction,' which is also present in the instruction parameter description. This is the baseline score for schema-covered parameters.

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 action ('Apply one instruction to an existing letter') and a specific deliverable ('return the revised text'). The additional scope constraint ('Changes only what the instruction asks for') makes it clear what this tool does and distinguishes it from broader editing 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 explicitly positions this tool in a workflow: 'Pair it with letterlens: review to find the problems, revise to fix them.' This gives clear usage context. It does not enumerate exclusions relative to all siblings, but the pairing guidance is strong enough.

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