Skip to main content
Glama

save_proposal

Store winning proposals to build a library of examples that refine future drafts to match your style and structure.

Instructions

Save a winning proposal as a reference example. The more examples you save, the more accurately future drafts match your voice and format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe full text of the winning proposal
nameYesShort name for this proposal (e.g. 'ecommerce-redesign-2024')
Behavior3/5

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

With no annotations, the description carries full burden. It explains the benefit (future drafts matching voice) but not side effects, storage limits, or overwrite behavior. Partial transparency.

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?

Two sentences, front-loaded with purpose, no redundancy. Every sentence adds value.

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?

Adequate for a simple saving tool but lacks details like naming conventions, data limits, or editability. Missing elements for full completeness given no output schema.

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 coverage is 100% and both parameters have descriptions. The tool-level description adds no extra meaning beyond the schema, so baseline score of 3 applies.

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 clearly states the verb-resource combination: 'Save a winning proposal as a reference example.' It distinguishes from siblings like draft_proposal or delete_proposal by specifying the action and purpose.

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

Usage Guidelines3/5

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

The description implies usage after winning a proposal but does not explicitly state when to use this tool vs alternatives or when not to use it. No mention of prerequisites or context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jabbawocky/proposalcraft'

If you have feedback or need assistance with the MCP directory API, please join our Discord server