Tenjin

Get my stats

get_my_stats

Read-only

Your three dashboard scalars for the CURRENT month, for the wallet that signed: earningsThisMonth (net, atomic-USDC string), readsThisMonth (full reads — sales PLUS free-post reads, so never divide it into earnings for an average price), and glancesThisMonth (opened but not read: page loads and 402 teasers). Lifetime per-post reads and earnedNet already ride on list_my_posts rows, and the sale-by-sale feed is get_my_events, so this is the summary rather than a way to enumerate sales. Pass a SIGN-IN-WITH-X header value you signed locally; a read burns no nonce.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`signInWithX`	Yes	The base64 SIGN-IN-WITH-X header value you signed

TDQS

A4.8/5.0

Behavior5/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description adds critical behavioral details: the data is for the current month, the exact meaning of each scalar, a warning about not dividing earnings by reads, and that the request burns no nonce.

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 a single paragraph that is dense with information; every sentence serves a purpose. It could be slightly more structured (e.g., bullet points for the scalars), but it is not overly verbose.

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 no output schema, the description fully explains the return values (three scalars with types and meanings), the authentication method, and the tool's scope. It is complete for an agent to select and invoke correctly.

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

Parameters4/5

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

Schema coverage is 100% for the single parameter. The description adds value by explaining the parameter must be signed locally and that using it does not consume a nonce, providing meaningful context beyond the schema.

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 it returns three dashboard scalars for the current month (earningsThisMonth, readsThisMonth, glancesThisMonth) and explicitly distinguishes from siblings like list_my_posts and get_my_events, specifying what this tool is not.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool ('summary rather than a way to enumerate sales') and how to use it ('Pass a SIGN-IN-WITH-X header value you signed locally; a read burns no nonce').

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

A4.4/5.0

Disambiguation4/5

Most tools have clearly distinct purposes: answer and search are both search-like but one returns a single synthesized answer vs a shortlist, which is a meaningful difference. A few overlaps exist, like get_article vs pay_and_read where both unlock content, but they handle payment differently. Naming is mostly clear but answer and search could cause temporary confusion.

Naming Consistency4/5

Overwhelmingly uses verb_noun pattern (get_article, delete_essay, list_articles, publish_essay, update_profile), which is predictable. answer and search are exceptions that don't follow the pattern, but they are the primary entry points for a key workflow, so their deviation is understandable and they still convey their purpose. Minor inconsistency keeps it from a 5.

Tool Count5/5

22 tools is on the higher end but wholly appropriate for a content marketplace that involves two distinct roles (creator and buyer) with separate write vs read flows, payment handling, search, trending signals, feedback, and image uploads. Each tool earns its place with a clear role in supporting either the publishing or the discovery/purchase workflow.

Completeness5/5

The tool surface provides complete coverage for both reader and publisher workflows. Readers can search, browse, preview, buy, read articles, and report outcomes. Creators can publish, list, update, soft-delete essays, manage their profile, upload images, track sales and stats. The answer feedback loop via report_search_outcome and get_trending is a notable addition that closes the loop. No obvious gaps for the intended domain.

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