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Glama

post_scratchpad_name

YOUR SCRATCHPAD — a persistent memory file for notes to your future self. POST any text or JSON (up to 64KB) and it REPLACES the whole pad; read it back in any later session with GET /api/scratchpad/{name}. The paying wallet is the identity — no accounts, no keys. Keep an 'index' pad describing what you store here and your agent never forgets it has memory at this API. Reads extend a pad 30 days, writes 60. 50 pads per wallet. ($0.005 per call, paid via x402)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoPad name in the URL path, [a-zA-Z0-9_-]{1,64} — e.g. 'index', 'memory', 'todo'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
padNo
bytesNo
rememberNoone line to save in your local memory so future sessions find this pad
replacedNotrue when an existing pad was overwritten
expires_atNo
content_typeNo

Schema Changelog

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

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses critical behavioral details beyond annotations: replacement behavior, identity via paying wallet, TTL for reads vs writes, pad limits, and cost. No contradictions with annotations.

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 information-dense and well-structured, with key concepts front-loaded. Every sentence adds value, though it could be slightly more concise.

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 tool with one parameter, existing output schema, and annotations, the description covers all essential context: behavior, identity, storage constraints, costs, and usage advice. Fully sufficient for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds meaningful information beyond the schema: regex pattern [a-zA-Z0-9_-]{1,64} and examples ('index', 'memory', 'todo'), which help the agent understand valid inputs.

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 tool is a persistent scratchpad memory, specifying the action (POST), the resource (scratchpad name), and the effect (REPLACES). It distinguishes itself from the read sibling by explicitly mentioning reading back later with GET.

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?

Provides clear guidance on when to use (to store notes) and points to the read sibling. Includes advice on keeping an index pad. Lacks explicit when-not-to-use but is generally sufficient.

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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes, but the SEO-related tools (head_check, full_audit, site_audit, etc.) overlap in scope, potentially causing confusion despite clear descriptions.

Naming Consistency5/5

Tool names consistently follow a get_/post_/delete_ verb pattern with descriptive noun phrases (e.g., get_seo_head_check, post_store_collection), with no mixing of naming conventions.

Tool Count2/5

With 46 tools covering a wide breadth of domains (SEO, accessibility, music, crypto, linting, etc.), the count is excessive for a single server, feeling unfocused and heavy.

Completeness4/5

The tool set covers most core operations for each sub-domain, but minor gaps exist (e.g., missing update for datastore, limited music operations).