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post_store_collection

AGENT DATASTORE — append rows to your wallet's persistent storage. POST JSON (object or array) or CSV; rows append to the named collection owned by your paying wallet and persist across calls, deploys, and restarts. The wallet that pays IS the identity — no keys, no accounts. Give your agent a memory. Activity keeps it alive: reads extend the collection 30 days, writes 60. Limits: 16KB/row, 1000 rows/call, 100k rows/collection, 50 collections, 50MB/wallet. ($0.02 per call, paid via x402)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collectionNoCollection name in the URL path: /api/store/{collection} — [a-zA-Z0-9_-], max 64 chars

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
walletNo
collectionNo
rows_addedNo
total_rowsNo

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

The description adds extensive behavioral details beyond annotations: it specifies that rows append (not overwrite), data persists across calls/deploys/restarts, identity is wallet-based without keys/accounts, activity extends collection lifetime, and includes explicit limits (16KB/row, 1000 rows/call, etc.). No contradiction 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Every sentence adds value: purpose, input formats, behavior, limits, pricing. It is dense but clear, front-loaded with the key action. No wasted words.

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?

Given the presence of an output schema (not shown but indicated), the description does not need to explain return values. It covers input, behavior, limits, pricing, and identity model comprehensively for a write tool.

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?

The only parameter 'collection' is fully described in the schema (100% coverage) with URL path format. The description repeats this but adds no new semantics; it mentions the collection is 'owned by your paying wallet' but that is behavioral context, not parameter-specific. Baseline 3 is appropriate.

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 starts with 'AGENT DATASTORE — append rows to your wallet's persistent storage,' clearly stating the action (append) and resource (rows to a collection). It distinguishes from sibling tools like get_store_collection (read) and delete_store_collection (delete) by emphasizing the write/persist nature.

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 provides clear context: 'Give your agent a memory' and explains persistence and activity-based expiration. It implies when to use (storing data) but does not explicitly state when not to use or list alternatives. However, the context is sufficient for an agent to decide.

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).